Film, Paris, Burning, And The Subculture Of Black And...

The 1990s documentary film, Paris is Burning, was significant because it was one of the first major productions that brought national visibility to the LGBTQ community and the subculture of black and Latina/os who participated in ballroom performances. This seemingly new phenomenon incorporated dissing or â€Å"throwing shade,† referred to as voguing, in New York City during the 1980s, and mainly consisted of poor, people of color. These performative shows attempted to challenge and imitate dominant, white heteronormativity by role playing socially powerful categories like business executives and students, that poor, gay people of color are often denied opportunistic access to. Intersections of class highlight the devastating and somber effects†¦show more content†¦These physical expressions through â€Å"processes of non-traditional literacy production, gender/race/sexuality articulation,† is presented in ways that outside of these spaces, would be â€Å"defi nitionally obscene,† much like the harassment and violence that transgender and gay individuals, along with drag queens, often encountered in 1980s hegemonic spaces (Gregory 28). â€Å"The irony is that the very real experience of difference, the heightened awareness that it brings, should help to create a disguise so immaculate that nothing remains but the in-joke of one s private knowledge,† proving that successful gender performances are not innate nor natural, arguments that 1980s heteronormativity argued to justify oppressive power hierarchies (Hentzi 36). These performances exposed the truth of outside society’s discomfort and defensiveness of their beloved and seemingly meaningful gender, race, sexual, and class boundaries. This is because â€Å"if men can be women, blacks can be white, the poor can be rich, and gays or lesbians can be straight (and vice versa in each of these examples), then the necessity and inevitability of these boundaries become susp ect,† and these boundaries can indeed be crossed and ceased (Schacht 148). 1980s balls ultimately could prove that â€Å"hierarchical borders that previously demarcated superiority and subordination would lose their omnipotent meaning† and these

Outrageous Business Term Paper Writing Service Tips

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Analysis Of Scarlet Letter Essay Example For Students

Analysis Of Scarlet Letter Essay The Scarlet Letter is a novel that deals with the never-endingtheme of sin. Throughout history, people have committed alltypes of sins, and whether they are major or minor, peoplehave been punished. However, the severity of a punishmentis very difficult to agree on. Some people feel that sinnersshould be deeply punished no matter how little thewrongdoing was. Others feel that a persons punishmentshould be based upon the severity of their crime. However,what many people overlook is the fact that in time, we allhave committed sins. In The Scarlet Letter, the idea of sinand punishment is the main theme of the novel and howHester Prynne, the main character, has been punished forher sin of adultery. As Nathaniel Hawthorne states in thisnovel, In the view of Infinite Purity, we are sinners all alike.This statement puts a big question mark on the true lives ofthe Puritans. If we all have once committed a moralwrongdoing, why is this young woman so harshly punishedfor her sin? Hester Prynne was a young woman living in aPuritan community in the New World. Her husband, RogerChillingworth was said to be lost at sea, and Hester assumedhis death. Upon this basis, young Hester committed a crimeof adultery with her fellow Minister Arthur Dimmesdale. Theresult of this extra marital affair was the birth of young Pearl,an elf-like child. When the townspeople become aware ofwhat Hester has done, they forced her to wear an ultimatesign of punishment, the scarlet letter. This letter A foradultery had to be worn on Hesters bosom at all times. However, Roger Chillingworth returns from sea and nowseeks revenge on Hesters lover. When one analyzes thepunishment inflicted upon her, it may seem harsh and cruel,especially for a Puritan society. It seems that Hawthorneagrees with this as well. Throughout the novel, it seemsapparent that Hawthorne feels that the punishment Hesterreceived was harsh and self-degrading. When one commits asin, they should understand their mistake, receive theirblame, and receive a slap on the wrist. However, thepunishment Hester received was far worse emotionally. Wearing the letter made Hester the talk-about of the town. When she walked through the marketplace, she receivedscornful looks, as if society was rejecting her for herwrongdoing. Hester was now living on the outskirts of town,isolated from neighbors and trying to communicate with herdaughter Pearl. After many years of being swept out ofsociety, Hester realized that her punishment was far worsethan she deserved. Many times throughout the novel,Hawthorne sympathizes with Hester because of theemotional problems she encounters. Hawthorne sees her asthe victim quite oftenly and blames it on her youth. She wasforced to marry Roger Chillingworth at a young age,although she clearly had no feelings for him. Secondly,Hesters crime was one out of passion, not malice. It is clearthroughout the novel that she has strong feelings forDimmesdale and they outweigh her respect for the Puritanscode of law. Although Hawthorne does not condoneadultery, he often feels that Hesters sin is somewhat out ofnecessity. She has nobody in her life. Her husband is lost at see and she lives with nobody. Dimmesdale was the firstman Hester really loved, and he feels that because of thesecircumstances, her punishment far outweighed her crime. Throughout the novel, it is very clear that Hester does notabide by most Puritan traditions and she clearly is not veryorthodox. However, at times in the novel, it seems that shehas overcome her guilt and her love for Pearl is unmatched,yet the scarlet letter always reminds her of her adulterous sin. .ud52b4f520bcf3d96233e9bdf892ada3c , .ud52b4f520bcf3d96233e9bdf892ada3c .postImageUrl , .ud52b4f520bcf3d96233e9bdf892ada3c .centered-text-area { min-height: 80px; position: relative; } .ud52b4f520bcf3d96233e9bdf892ada3c , .ud52b4f520bcf3d96233e9bdf892ada3c:hover , .ud52b4f520bcf3d96233e9bdf892ada3c:visited , .ud52b4f520bcf3d96233e9bdf892ada3c:active { border:0!important; } .ud52b4f520bcf3d96233e9bdf892ada3c .clearfix:after { content: ""; display: table; clear: both; } .ud52b4f520bcf3d96233e9bdf892ada3c { display: block; transition: background-color 250ms; webkit-transition: background-color 250ms; width: 100%; opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #95A5A6; } .ud52b4f520bcf3d96233e9bdf892ada3c:active , .ud52b4f520bcf3d96233e9bdf892ada3c:hover { opacity: 1; transition: opacity 250ms; webkit-transition: opacity 250ms; background-color: #2C3E50; } .ud52b4f520bcf3d96233e9bdf892ada3c .centered-text-area { width: 100%; position: relative ; } .ud52b4f520bcf3d96233e9bdf892ada3c .ctaText { border-bottom: 0 solid #fff; color: #2980B9; font-size: 16px; font-weight: bold; margin: 0; padding: 0; text-decoration: underline; } .ud52b4f520bcf3d96233e9bdf892ada3c .postTitle { color: #FFFFFF; font-size: 16px; font-weight: 600; margin: 0; padding: 0; width: 100%; } .ud52b4f520bcf3d96233e9bdf892ada3c .ctaButton { background-color: #7F8C8D!important; color: #2980B9; border: none; border-radius: 3px; box-shadow: none; font-size: 14px; font-weight: bold; line-height: 26px; moz-border-radius: 3px; text-align: center; text-decoration: none; text-shadow: none; width: 80px; min-height: 80px; background: url(https://artscolumbia.org/wp-content/plugins/intelly-related-posts/assets/images/simple-arrow.png)no-repeat; position: absolute; right: 0; top: 0; } .ud52b4f520bcf3d96233e9bdf892ada3c:hover .ctaButton { background-color: #34495E!important; } .ud52b4f520bcf3d96233e9bdf892ada3c .centered-text { display: table; height: 80px; padding-left : 18px; top: 0; } .ud52b4f520bcf3d96233e9bdf892ada3c .ud52b4f520bcf3d96233e9bdf892ada3c-content { display: table-cell; margin: 0; padding: 0; padding-right: 108px; position: relative; vertical-align: middle; width: 100%; } .ud52b4f520bcf3d96233e9bdf892ada3c:after { content: ""; display: block; clear: both; } READ: The Novel ' The Kite Runner ' EssayA human is very fragile and many things can hurt or upsetthem. As Hawthorne expresses, it is clear to Puritans thatthey have little or no sympathy for unruly persons. Hawthorne feels that once she has over come her guilt andhas accepted her punishment, then Hester should be able tostart over from scratch and unload this heavy burden fromher back. However, that doesnt happen. This sin remainswith Hester for seven years until her death, and the Puritancommunity never seems to forgive her for her sins. It is veryclear that in this novel, Hawthorne is attempting to expresshis feelings on Puritan life and their rigid beliefs towardstransgressors. However, people should be able to leave thepast behind them and start over, yet that never seems tohappen, and Hester is forced to drag this guilt around withher, until her last breath of air. Book Reports

Carribean Internet Cafe free essay sample

Caribbean Intern Cafe Date: November 14, 2012 1. There are many issues that Mr. Grant should consider before proceeding with the CIC. There are several things that Mr. Grant should examine before even looking at the projections given to him. Total capital is $2,250,000, $1,000,000 in investments and $1,250,000 in the form of a long-term loan. $1,573,000 is immediately spent leaving $677,000. If he has no customers, he can afford to remain open for 3 months. As well, they are not attractive to individuals who seek to use the Internet for longer periods of time and the customer base that they are attempting to attract is the more affluent and educated of the population. They are also the most likely to either already own a computer or will be purchasing a computer in the near future. Mr. Grant must have a business plan that is either for the short-term or able to readily adapt to future circumstances as he expects private usage to increase in 3 years. We will write a custom essay sample on Carribean Internet Cafe or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page Mr. Grant should also examine factors external to his business. These issues include his mention of the relatively low demand for coffee in Jamaica as well as changes in levels of private Internet usage. His management plan should include contingencies to replace coffee if it is not making a profit as well as plans for the computer area when future demands for Internet cafe’s start to decrease. A final issue that Mr. Grant should also examine is the terms of agreement for the long-term loan. If CIC is very profitable they may want to pay off the loan as quickly as possible instead of incurring unnecessary interest. 2. The fixed costs remain constant within a relative range of finished products produced. The fixed costs amount to an annual rate of $2,479,400 and the break down of each fixed cost is shown in Appendix 1. The fixed costs include the manager, employees, rent, telephone and utilities, link to Internet, insurance, advertising, interest on loan and miscellaneous administration and maintenance fees. The start up costs amount to a one-time fee of $1,573,000 and the breakdown of each cost is shown in Appendix 2. It should be noted that in all cases start-up costs were amortized in the first ear. The variable costs are those that are accrued on a per customer basis and are shown in Appendix 3. This amounts to a weighted average Variable Cost of $104 per customer. 3. The costs of the first customer may be calculated by adding the fixed costs, start-up costs and variable costs for the first customer. The variable cost was calculated using a weighted average of based on the estimated usage of th e Internet. Assuming that the fixed costs are calculated on an annual basis and are set for the entire year then the cost for the first customer will be $4,052,504. . The contribution margin may be calculated for each customer as: C/M = R – VC. A weighted average was used because it is estimated that 40% of the customers will use the computer thereby increasing variable profit by $60 ($120 revenue, $60 variable cost). A breakdown of the variable costs and revenue are shown in Appendix 4. The contribution margin is $144 per customer. 5. In order for the CIC to break even they must cover their fixed costs, variable costs and start-up costs. This can be solved using the formula: B/E Pt. (Fixed cost + Start-up cost) / contribution margin B/E Pt. = (2479400 + 1,573,000) / 144 B/E Pt. = 28,142 Therefore, they will need to have 28,142 customers that at minimum meet their average consumption expectations of computer usage, food and beverages in order to reach their break even point i n the first year. 6. Using the same formula as question 5, except that there are no longer any start-up costs but fixed costs ($2479400) and contribution margin ($144) remain the same so Mr. Grant will require 17,219 customers in order to reach his break-even point for the second year. . Based on the projected given to him we can calculated the expected contribution from each scenario (Table 1). Scenario| Customers| Net Contribution (Revenue–Variable costs)| Optimistic| 50000| $7,200,000| Realistic| 24,000| $3,456,000| Pessimistic| 12,000| $1,728,000| As Internet usage becomes more common competition will increase and his business plan will most likely have to be reviewed. Therefore, in the first three years Mr. Grant should expect to make a significant profit in these years for the project to be worthwhile. Projected net profits (losses) for each scenario are shown in Table 2. Scenario| Year 1 ($)| Year 2 ($)| Year 3 ($)| Total ($)| Optimistic| 3,147,600| 4,720,600| 4,720,600| 12,588,800| Realistic| (596,400)| 976,600| 976,600| 1,356,800| Pessimistic| (2,324,400)| (751,400)| (751,400)| (3,827,200)| Table 2 shows the net profit (loss) for the first 3 years based on each scenario. All start-up costs are paid for in full in the first year only. Based on this these scenarios Mr. Grant would have a very difficult decision to make. Firstly, the net profit does not take into account the $500,000 investments that were made by both Mr. Grant and JTL. Secondly, the terms of the long-term loan are not made clear nor did the negotiations include an amortization schedule. As well, a long-term plan has not been made based on expected increases in private Internet usage. Finally, the probability of each scenario being realized is a very important tool to determine the expected value of Mr. Grant’s decision. If each scenario is equally likely to occur than Mr. Grant will have an expected profit of $3,372,800. 01. Although simplistic, we can determine that the CIC has made an expected $1,122,800 in three years if the loan is fully paid off years and all investments are recuperated. If the CIC were to then dissolve, each investor would make a profit of $561,400 a return on investment rate of 28. 52% compounded annually as well as revenue generated from sale of capital (excluded from further analysis for simplicities sake). In conclusion, based on the information available, unless Mr. Grant can find another investment hat will provide a greater return on investment than 28. 52% compounded annually for the next 3 years, he should give the CIC the green light. Appendices Appendix 1: Fixed Costs Expense| Cost per year ($)| Manager| 480000| Rent| 360000| Telephone and utilities| 180000| Link to internet| 120000| Insurance| 120000| Advertising| 120000| Employee Wage| 374400| Misc. admin and maintenance| 600000| Interest on loan| 125000| Total| 247 9400| Appendix 2: Start-up Costs Expense| Cost ($)| Telephone and utilities| 7,000| Advertising| 20,000| Other up-front costs| 120,000| Equipment costs| 1,426,000| Total| 1,573,000| Appendix 3: Variable Costs Expense| Cost ($ per customer)| Food| 50| Beverages| 30| Internet Usage| 60| Total Average Variable Cost*| 104| *Calculated using a weighted average based on the assumption that 40% of customers will use the Internet for 1 hour Appendix 4: Variable Revenue Revenue| Revenue ($ per customer)| Food| 60| Beverages| 140| Internet Usage| 120| Total Average Variable Revenue*| 248| | | *Calculated using a weighted average based on the assumption that 40% of customers will use the Internet for 1 hour.

My First Ballet Performance Essay Sample

My First Ballet Performance Essay SampleIf you have decided to take up ballet, you will need to write a my first ballet performance essay sample. Writing a performance essay sample is not as difficult as it sounds and can be fun if you go into it with the right attitude. There are some tips that can help you out here.To start with, you need to be aware of what you are going to be writing and how much time you will have for it. A performance essay can take up to an hour or so depending on the type of class you are taking. You will want to think about how long it is you are going to be involved in and how many songs you are going to have to read and learn.You need to write in a way that makes sense and makes you feel confident that you have written something good and unique. You do not want to over think this part of the process. Use your skills to write a good and interesting performance essay and make sure you get it right.There are plenty of samples of essays you can use to write yo ur my first ballet performance essay sample. These include lessons and exercises as well as other pieces which may also contain your personal experiences and routines. All you have to do is think about what you want to say and then find a sample that can provide that and something that suits your style. You can look at other examples online or find some in books.Writing it in a good style is a good idea. You do not want to be trying to fit in too many notes into one page. Write in an orderly manner and make sure you clearly indicate the point that you are trying to make. Keep your essay at a medium length so that it flows smoothly.Have a pen and paper handy when you are writing your my first ballet performance essay. You do not want to forget anything or add a note that you will forget. This is just not how you will be able to think and write.For best results, have a couple of friends read your my first ballet performance essay. They can all comment on it and give you some construct ive criticism which will help you improve your performance. This way you can have a great essay and you will be able to relax and enjoy yourself more.

The Appearance of Identity in Much Ado About Nothing Essay Example

The Appearance of Identity in Much Ado About Nothing Paper An individual is often identified by his or her appearance, but what happens when an appearance can change so much so that it changes identity? William Shakespeare, above anyone, realized the connection between appearance and identity. As someone who went from being the son of a rural glover to frequenting the courts of Queen Elizabeth, and as someone whose career revolved around convincing others that actors on a stage could becomes kings and queens with a change in costume or shift in language, the world of his plays were the world of Renaissance England: a world in which the individual realized that his or her identity was dependent upon his or her appearance. In Much Ado About Nothing, Shakespeare applies the world of Renaissance England to Messina, Italy and with it the ability to defy social conventions as well as alter appearances to allow for the emergence of a new identity.Elizabethan England was a time and place in which people challenged social conventions to provide the o pportunity to assert their emerging individualism and Shakespeare applied this to his plays as well. In Much Ado About Nothing, the Prince’s bastard brother, Don John, proudly defies the traditional conventions of the court and develops an antisocial behavior and identity. He claims â€Å"I cannot hide what I am: I must be sad when I have cause and smile at no mans jests, eat when I have stomach and wait for no mans leisure, sleep when I am drowsy and tend on no mans business, laugh when I am merry and claw no man in his humour† (I.iii.10-14). Don John refuses to play the political games that his brother the Prince is adept in, and identifies himself as a self-sufficient man who will â€Å"wait for no man’s leisure† and â€Å"tend on no man’s business.† He further develops his independent identity and individualism through defying conventions by admitting that â€Å"though I cannot be said to be a flattering honest man, it must not be denie d but I am a plain-dealing villain† (I.iii.23-25). His admission of being a â€Å"plain-dealing villain† simultaneously defies the social standards of morality and asserts his identity as he adds, â€Å"in the meantime let me be that I am and seek not to alter me† (I.iii.28-29). Don John knows what he is and is comfortable establishing his identity as a villain. Like Don John, Beatrice is another character who defies convention and asserts her identity and individualism. When discussing with Leonato her vehement opposition to marriage, she exclaims, â€Å"No, uncle, Ill none: Adams sons are my brethren; and, truly, I hold it a sin to match in my kindred† (II.i.53-54). Beatrice not only denies a suggestion of marriage, a denial of convention in itself, she considers men her â€Å"brethren,† defying the social conventions of women in society and establishing an independent identity.In addition to asserting oneself through defying conventions, characte rs in Much Ado About Nothing are able to change their appearances, and thus change their identities in the process. Like the emergence of the individual in Renaissance England, Shakespeare’s Messina also allows people to be more than they appear. Before the return of the soldiers to Messina, a messenger tells Leonato about Claudio who â€Å"hath borne himself beyond the promise of his age, doing, in the figure of a lamb, the feats of a lion† (I.i.11-12). Claudio’s ability to exceed expectations and more importantly, exceed the expectations of his appearance, helps to establish the play’s theme of the ability to appear one way and act another. For Hero however, appearance is the cause of the fall and subsequent rise of a new identity. At Claudio and Hero’s wedding, Claudio accuses her of infidelity crying out, â€Å"Out on thee, seeming! I will write against it. / You seem to me as Dian in her orb, / As chaste as is the bud ere it be blown. / But y ou are more intemperate in your blood / Than Venus, or those pampered animals / That rage in savage sensuality† (IV.i.54-59). All of his accusations are based on her â€Å"seeming† appearance and it is this new appearance that causes her identity to change from a virtuous and chaste maid to a now â€Å"intemperate† â€Å"animal.† Taking a cue from this case of mistaken identity, the Friar suggests that Hero willingly change her identity and says, â€Å"Let her a while be secretly kept in, / And publish it that she is dead indeed.† (IV.i.202-203). Hero’s identity is transformed from a living person to a dead body solely based on appearance. In true Renaissance fashion, however, a rebirth takes place when she is married a second time, and she herself claims, â€Å"Nothing certainer. / One Hero died defiled, but I do live, / And surely as I live, I am a maid† (V.iv.62-64). She admits that her former identity has died and she is now before them, reinvented with a new identity based on appearance.The strength of the ability for appearance to define identity is reinforced by the willingness of others to believe what they see. When Don Pedro offers to help Claudio woo Hero, he states, â€Å"I will assume thy part in some disguise, / And tell fair Hero I am Claudio† (I.i.269-270). Don Pedro helps to establish the theme that people can change appearances and in the process, change their identities knowing that others will trust them. The strongest evidence of this inherent trustworthiness in appearance occurs when Benedick is tricked into loving Beatrice based solely on what he sees and hears. The trust Benedick has in appearance is strongly established by his statement that â€Å"I should think this a gull, but that the white-bearded fellow speaks it. Knavery cannot, sure, hide himself in such reverence† (III.ii.110-112). The fact that Benedick relies on the appearance of Leonato’s â€Å"reverenceâ €  demonstrates his ability to allow outward appearance to hide Leonato’s true identity and Benedick falls for it, despite his own feeling that it is a trick. While this trustworthiness in appearances allows for the harmless tricking of Benedick, it takes a tragic turn in the tricking of Claudio. After he believes he sees Hero with another man, he asks, â€Å"Would you not swear, / All you that see her, that she were a maid, / By these exterior shows? But she is none. / She knows the heat of a luxurious bed. / Her blush is guiltiness, not modesty† (IV.i.36-40). Claudio’s trust in appearances is complete. Not only does he believe what he sees the night before, but now he is able to interpret her blushes as â€Å"guiltiness, not modesty.† Claudio is manipulated by the emergence of the individual through appearance as he is unable to see the blushes for what they are.At the end of Much Ado About Nothing, the trick involving the slander of Hero is revealed and Leonato asks, â€Å"Which is the villain? let me see his eyes, / That, when I note another man like him / I may avoid him: which of these is he? (V.i.243-245). Of course the irony is that if Leonato can’t tell which man is the villain, then how will he be able to tell when he sees another one? This is the inherent problem in Much Ado About Nothing and, consequently, in Shakespeare’s England. With the ability to change identities through appearance comes the problem of identifying when that change has occurred, which is exactly what Shakespeare was counting on.

Quantitative and Analytical Techniques for Managers

Quantitative and Analytical Techniques for Managers Relationship between the variables The dependent variable in the model will be the rate of growth of GDP while the independent variable is the amount of investment expressed as a percentage of GDP. A sample data for ten countries will be used to estimate the regression equation.Advertising We will write a custom assessment sample on Quantitative and Analytical Techniques for Managers specifically for you for only $16.05 $11/page Learn More The regression line will take the form g = b0 + b1 (1/Yi) + ui when the ordinary least squares method is used. The regression line can be simplified to Y = b0 + b1X Y = rate of growth of GDP X = Investment The theoretical expectations are b0 can take any value and b1 0. Regression Results Variable Coefficients of the variable b0 Y – intercept 0.331859084 b1 Investment 0.186311941 From the above table, the regression equation can be written as Y = 0.3319 + 0.1863X. The intercept value of 0.3319 shows the p roportion of growth in GDP that is not dependent on investment. The value captures the variables that were not included in the regression analysis. The coefficient value is 0.1863. The sign is positive which implies that there is a positive linear relationship between growth in GDP and investment. An increase in investment by one unit leads to the growth in GDP by 0.1863 units. This can be shown by the scatter diagram shown below (Bazen, 96).Advertising Looking for assessment on business economics? Let's see if we can help you! Get your first paper with 15% OFF Learn More Evaluation of regression model Evaluation of the regression model can be done by testing the statistical significance of the variables. Testing statistical significance shows whether the amount of investment is a significant determinant of the rate of change of GDP. A t – test will be used since the sample size is small. A two tailed t- test is carried out at 95% level of confidence . Null hypothesis: Ho: bi = 0 Alternative hypothesis: Ho: bi ≠  0 The null hypothesis implies that the variables are not significant determinants of demand. The alternative hypothesis implies that variables are significant determinant of demand. The table below summarizes the results of the t tests. Variable t – values computed t ÃŽ ± 0.05 Decision b0 Y – intercept 0.185875 1.9432 Do not reject Ho b1 Investment 2.924371 1.9432 Reject From the table above, the t value of the y – intercept (0.1858) is less than the computed value of t (1.9432). Thus, the null hypothesis will not be rejected. This implies that the intercept is not a significant determinant of the rate of growth of GDP a 95% significance level and thus can be dropped. On the other hand, the t value of the coefficient of the slope (2.9244) is greater than the values of t – tabulated (1.9432). Therefore, the null hypothesis will be rejected and this implies that the investme nt a significant explanatory variable. Thus, investment is statistically significant at the 95% level of significance. The value of the intercept is not relevant when testing the significance of the regression variables. Since the explanatory variable is statistically significant, it implies that the regression line can be used for prediction.Advertising We will write a custom assessment sample on Quantitative and Analytical Techniques for Managers specifically for you for only $16.05 $11/page Learn More R-square value Coefficient of determination shows the amount of changes in the dependent variable that are explained by the independent variables. A high coefficient of determination implies that the explanatory variables adequately explain the variations in the rate of growth of GDP. A low value of coefficient of determination implies that the explanatory variables do not explain the variations in the rate of growth of GDP adequately. For this regression, the value of R2 is 51.67%. This implies that the amount of investment explains only 51.67% of the variation in rate of growth of GDP. It is an indication of a weak explanatory variable. The value of adjusted R2 is superior to the value of the R2 since it eliminates the effects of the number of variables used in the regression model. It is because the number of variables has an effect of increasing the value of R2. Also, the value of adjusted R2 is low at 46.63%. The value is quite low and it indicates that the regression model is weak. It is worth mentioning that the value of adjusted R2 is not always superior in all cases. The value is of significance only when dealing with a sample not a whole population as in the case above. Besides, it is also relevant in model building (Verbeek 87). Testing the overall significance of the regression model The overall significance of the regression model can be analyzed using an F – test at the 95% level of confidence. Null hypothesis H0: ÃŽ ²0 = ÃŽ ²1 =, = ÃŽ ²p Alternative hypothesis H1: ÃŽ ²j ≠  0, for at least one value of jAdvertising Looking for assessment on business economics? Let's see if we can help you! Get your first paper with 15% OFF Learn More The table below summarizes he results of F – test for the regression equation. Variable F – values computed F at ÃŽ ± 0.05 Decision Regression 8.551948 4.71 Reject Ho From the table above, the value of F – computed is greater than the value of F – tabulated. Thus, the null hypothesis will be rejected and conclude that the overall regression line is significant. How to improve the model and results First, the manager can remove the variables that are found not to be statistically significant. Also, the manager can improve the regression equation by more adding variables which are considered that can affect the regression equation. This is often done at the formulation stage. Finally, the manager can increase the power of the explanatory variables. Thus, the management can either use cubic or quadratic functions. Theoretical Framework Justification Human Capital Theory Fringe benefits and wage earnings are identified as the main components of com pensation summation. However, fringe benefits are apportioned a larger share in the total compensation matrix due to the fact that their influence was experiencing a consistent growth over the last decade in the labor market. These fringe benefits are classified as social security, unemployment compensation and employee’s compensation for every unit of labor given as indicated in the human capital theory. In classification, these fringe benefits assume the form of insurance benefits, paid leave, and legally acquired benefits to a worker for every unit of labor delivered against the revenue realized (Allen 10). Labor Market Discrimination Theory Type and form of fringe benefits are never universal. Rather, they are influenced by the type of industry in which labor operates, ration and occupational groups as indicated in the labor market discrimination theory. This is due to the fact that governments and other agencies have introduced laws and regulations aimed at pushing for h igher and reliable compensation. In most instances, the blue collar employees have a larger share of the legalities, construed benefits than their counterparts in white collar jobs (Verbeek 77). Job Characteristics Theory In a bid to extrapolate this relationship, the Job Characteristics/Compensating Wage Differentials theory is a certain reason for the experienced growth over the sample space. Reflectively, the variables interacting within the parameters of this theory are leisure and income within the normal indifference curve. Consequently, the resulting interaction becomes flexible to different bundles of budget constraints that might be present at each level of computation. Further, this theory asserts that indifference curve is a product of various fringe benefits and wage rates that interact simultaneously to yield same utility level for each worker. When all other factors are held constant, higher swing of the indifference curve indicates higher levels of utility (Kanbur 87) . Incentive pay theory The requirement for intrinsic substitution as a component of the decision science aimed at managing the fringe benefits are peculiar in labor economics. In such case, the foregone alternative would be forfeiting leisure related savings for health and pension needs which are characterized as basic for every worker. The adoption of this thought is influenced by the fact that basic needs are more critical than the secondary wants in the matrix of fringe benefits. Besides, the long term effects of purchasing the basic needs are greater than those opting to acquire secondary needs upfront. Tax advantages to employers, scale of economies, and efficiency are major factors that led to the growth of fringe benefits (Koning 137). Therefore, as fringe benefits increase, the workers’ utility increased in the same ratio. Labor Union When implanting compensation plans, it is important for the firm to consider the efficiency of each labor unit against the wage payment s. These units should be quantified in line with performance targets and revenue accrued. In order to achieve this, introduction of regulatory agents, such as supervisors who work alongside the employees may be beneficial. As explained in the labor union theory, this agent often influences wage prices to be very sticky downwards. In the sample, the unionized employees reported stable income and structured employment contracts as pull factors into their respective fields. Regression analysis The regression line can be simplified to take the form Y = b0 + b1X + b2X + †¦+ bnX for n variables. Y = rate of growth of GDP Xi = All explanatory variables Evaluation of regression model A two tailed t- test is carried out at 95% level of confidence. Null hypothesis: Ho: bi = 0 Alternative hypothesis: Ho: bi ≠  0 The table below summarizes the results of the regression and a determination a test on whether they are significant or not. Model B Standard Error Beta t Comments (Const ant) .458 12.729 .036 Positive relationship with the depend relationship Statistically significant S 1.788 .456 .302 3.924 Positive relationship with the depend relationship Statistically significant EDUCDO -.669 4.367 -.012 -.153 Negative relationship with the depend relationship Not Statistically significant EDUCHSD -2.154 3.459 -.074 -.623 Negative relationship with the depend relationship Not Statistically significant EDUCAA -2.899 3.627 -.057 -.799 Negative relationship with the depend relationship Not Statistically significant EDUCBA 3.618 3.353 .099 1.079 Positive relationship with the depend relationship Not statistically significant EDUCMAST .990 4.095 .015 .242 Positive relationship with the depend relationship Not statistically significant EDUCPHD -8.242 12.956 -.025 -.636 Positive relationship with the depend relationship Not statistically significant EDUCPROF 43.449 7.229 .259 6.011 Positive relationship with the depend relationship Statistically signif icant ETHBLACK -2.952 2.871 -.063 -1.028 Negative relationship with the depend relationship Not Statistically significant ETHWHITE -.921 2.424 -.023 -.380 Negative relationship with the depend relationship Not Statistically significant AGE -.357 .244 -.057 -1.464 Negative relationship with the depend relationship Not Statistically significant EXP .642 .134 .197 4.806 Positive relationship with the depend relationship Statistically significant From the table above, only three variables are statistically significant. All the others are not at the 95% level of confidence and thus can be dropped from the regression model. R-square value The value of R2 is 27.8%. This implies that the amount of investment explains only 51.67% of the variation in rate of growth of GDP. It is an indication of a weak explanatory variable. Also, the value of adjusted R2 is low at 26.1%. The value is quite low and it indicates that the regression model is weak. More variable statistically significa nt variables should be added to the regression model at the formulation stage (Allen 97). Testing the overall significance of the regression model The overall significance of the regression model can be analyzed using an F – test at the 95% level of confidence. Null hypothesis H0: ÃŽ ²0 = ÃŽ ²1 =, = ÃŽ ²p Alternative hypothesis H1: ÃŽ ²j ≠  0, for at least one value of j The table below summarizes he results of F – test for the regression equation. Variable F – values computed F at ÃŽ ± 0.05 Decision Regression 16.892 4.71 Reject Ho From the table above, the value of F – computed is greater than the value of F – tabulated. Thus, the null hypothesis will be rejected and conclude that the overall regression line is significant. Test for autocorrelation Autocorrelation is a scenario where the error terms of different periods are related. It is often tested either graphically or by use of the Durbin Watson test. The Durbin Watson lies b etween 0 and 4. A value of 2 implies that there is no correlation between the variables. A value of 0 and 4 indicates a strong correlation. The values are summarized below (Kanbur 77). Model Durbin-Watson Rounded off Comments (Constant) 1.796 2 No correlation S 1.796 2 No correlation EDUCDO 1.796 2 No correlation EDUCHSD 1.796 2 No correlation EDUCAA 1.796 2 No correlation EDUCBA 1.796 2 No correlation EDUCMAST 1.796 2 No correlation EDUCPHD 1.796 2 No correlation EDUCPROF 1.796 2 No correlation ETHBLACK 1.796 2 No correlation ETHWHITE 1.796 2 No correlation AGE 1.796 2 No correlation EXP 1.796 2 No correlation The information in the table below shows that there is no serial correlation in the data. Heteroscedasticity Heteroscedasticity is a scenario where the error term violates the assumption of constant variance. The standard error of the regression equation is 6920.717929. In the regression above, the robust standard errors are 8859.92728. It is a n indication of the possible existence of heteroscedasticity (Koning 98). Allen, Michael. Understanding Regression Analysis, Alabama: Springer, 2004. Print. Bazen, Stephen. Econometric Methods for Labour Economics, Oxford: Oxford University Press, 2011. Print. Kanbur, Ravi. Labour Markets and Economic Development, Alabama: Routledge, 2012. Print. Koning, Jaap. Evaluation of Active Labour Market Policies: Measures, Public Private Partnerships And Benchmarking, New York: Edward Elgar Publishing, 2007. Print. Verbeek, Marno. A Guide to Modern Econometrics, New York: John Wiley Sons, 2008. Print.