Exam 13: Simple Linear Regression

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True of False: The Chancellor of a university has commissioned a team to collect data on students' GPAs and the amount of time they spend bar hopping every week (measured in minutes).He wants to know if imposing much tougher regulations on all campus bars to make it more difficult for students to spend time in any campus bar will have a significant impact on general students' GPAs.His team should use a t test on the slope of the population regression.

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SCENARIO 13-2 SCENARIO 13-2   -Referring to Scenario 13-2, what is the coefficient of correlation for these data? -Referring to Scenario 13-2, what is the coefficient of correlation for these data?

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The Y-intercept (b0)represents the

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The residual represents the discrepancy between the observed dependent variable and its _______ value.

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True or False: The Regression Sum of Squares (SSR)can never be greater than the Total Sum of Squares (SST).

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If you wanted to find out if alcohol consumption (measured in fluid oz.)and grade point Average on a 4-point scale are linearly related, you would perform a If you wanted to find out if alcohol consumption (measured in fluid oz.)and grade point Average on a 4-point scale are linearly related, you would perform a

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SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed: SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -Referring to Scenario 13-11, which of the following is the correct interpretation for the Coefficient of determination? SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -Referring to Scenario 13-11, which of the following is the correct interpretation for the Coefficient of determination? Simple Linear Regression 13-43 SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -Referring to Scenario 13-11, which of the following is the correct interpretation for the Coefficient of determination? -Referring to Scenario 13-11, which of the following is the correct interpretation for the Coefficient of determination?

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SCENARIO 13-1 SCENARIO 13-1   -Referring to Scenario 13-1, interpret the estimate of   , the standard deviation of the random Error term (standard error of the estimate)in the model. -Referring to Scenario 13-1, interpret the estimate of SCENARIO 13-1   -Referring to Scenario 13-1, interpret the estimate of   , the standard deviation of the random Error term (standard error of the estimate)in the model. , the standard deviation of the random Error term (standard error of the estimate)in the model.

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SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed: SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -Referring to Scenario 13-11, which of the following assumptions appears to have been Violated? SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -Referring to Scenario 13-11, which of the following assumptions appears to have been Violated? Simple Linear Regression 13-43 SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -Referring to Scenario 13-11, which of the following assumptions appears to have been Violated? -Referring to Scenario 13-11, which of the following assumptions appears to have been Violated?

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SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed: SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -True or False: Referring to Scenario 13-11, there appears to be autocorrelation in the residuals. SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -True or False: Referring to Scenario 13-11, there appears to be autocorrelation in the residuals. Simple Linear Regression 13-43 SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -True or False: Referring to Scenario 13-11, there appears to be autocorrelation in the residuals. -True or False: Referring to Scenario 13-11, there appears to be autocorrelation in the residuals.

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True or False: The value of r is always positive.

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SCENARIO 13-2 SCENARIO 13-2   -Referring to Scenario 13-2, what percentage of the total variation in candy bar sales is explained By prices? -Referring to Scenario 13-2, what percentage of the total variation in candy bar sales is explained By prices?

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SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed: SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -True or False: Referring to Scenario 13-11, the Durbin-Watson statistic is inappropriate for this data set. SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -True or False: Referring to Scenario 13-11, the Durbin-Watson statistic is inappropriate for this data set. Simple Linear Regression 13-43 SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -True or False: Referring to Scenario 13-11, the Durbin-Watson statistic is inappropriate for this data set. -True or False: Referring to Scenario 13-11, the Durbin-Watson statistic is inappropriate for this data set.

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SCENARIO 13-4 SCENARIO 13-4    Simple Linear Regression 13-13 -Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.At a level of significance of 0.01, the decision that should be made implies that _____ (there is a or there is no)linear dependent relationship between the independent and dependent variables. Simple Linear Regression 13-13 -Referring to Scenario 13-4, the managers of the brokerage firm wanted to test the hypothesis that the population slope was equal to 0.At a level of significance of 0.01, the decision that should be made implies that _____ (there is a or there is no)linear dependent relationship between the independent and dependent variables.

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SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed: SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -Referring to Scenario 13-11, what is the standard deviation around the regression line? SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -Referring to Scenario 13-11, what is the standard deviation around the regression line? Simple Linear Regression 13-43 SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -Referring to Scenario 13-11, what is the standard deviation around the regression line? -Referring to Scenario 13-11, what is the standard deviation around the regression line?

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If the residuals in a regression analysis of time-ordered data are not correlated, the value of the Durbin-Watson D statistic should be near __________.

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SCENARIO 13-2 SCENARIO 13-2   - -SCENARIO 13-2   -

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SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed: SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -Referring to Scenario 13-11, which of the following is the correct alternative hypothesis for Testing whether there is a linear relationship between revenue and the number of downloads?  SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -Referring to Scenario 13-11, which of the following is the correct alternative hypothesis for Testing whether there is a linear relationship between revenue and the number of downloads?  Simple Linear Regression 13-43 SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -Referring to Scenario 13-11, which of the following is the correct alternative hypothesis for Testing whether there is a linear relationship between revenue and the number of downloads?  -Referring to Scenario 13-11, which of the following is the correct alternative hypothesis for Testing whether there is a linear relationship between revenue and the number of downloads? SCENARIO 13-11 A computer software developer would like to use the number of downloads (in thousands)for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars)he can make on the full version of the new shareware.Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:      Simple Linear Regression 13-43   -Referring to Scenario 13-11, which of the following is the correct alternative hypothesis for Testing whether there is a linear relationship between revenue and the number of downloads?

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