THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION:
A professor of statistics is interested in studying the relationship between the number of hours graduate students spent studying for his comprehensive final exam and the exam score.The results of the regression analysis of hours studied on exam scores are presented below. 
-Which of the following statements must be true,if the regression sum of squares (SSR) is 83.6?
Definitions:
Barriers to Entry
Factors that make it difficult or costly for new firms to enter and compete in an industry, such as high startup costs or strict regulations.
Pure Monopoly
A market structure where a single supplier controls all production and sale of a particular good or service, with no close substitutes.
Output Quantity
The total amount of a product or service produced by a company or industry.
Rent-seeking
The practice of gaining economic advantage by manipulating the social or political environment in which economic activities occur, instead of by creating new wealth.
Q4: Formulate the appropriate null and alternative hypotheses.
Q21: Consider the regression model <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB2968/.jpg" alt="Consider
Q33: Which of the following is the value
Q42: Calculate the error sum of squares.
Q57: Assuming unknown but equal population variances,determine the
Q60: In a multiple regression model,the mean of
Q82: At the 0.05 level of significance,what conclusion
Q187: Is there enough evidence at the 5%
Q218: In calculating the standard error of the
Q238: For a particular regression,the adjusted coefficient of