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Question : Referring to Scenario 12-11, what is the standard error of estimate : 2146831

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

124) Referring to Scenario 12-11, what is the standard error of estimate?

125) Referring to Scenario 12-11, what is the standard deviation around the regression line?

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

126) Referring to Scenario 12-11, which of the following assumptions appears to have been violated?

A) Homoscedasticity

B) Independence of errors

C) Normality of error

D None of the above

TRUE/FALSE. Write 'T' if the statement is true and 'F' if the statement is false.

127) True or False: Referring to Scenario 12-11, the normality of error assumption appears to have been violated.

128) True or False: Referring to Scenario 12-11, the homoscedasticity of error assumption appears to have been violated.

129) True or False: Referring to Scenario 12-11, there appears to be autocorrelation in the residuals.

130) True or False: Referring to Scenario 12-11, the Durbin-Watson statistic is inappropriate for this data set.

131) True or False: Referring to Scenario 12-11, the null hypothesis for testing whether there is a linear relationship between revenue and the number of downloads is "There is no linear relationship between revenue and the number of downloads."

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

132) Referring to Scenario 12-11, which of the following is the correct null hypothesis for testing whether there is a linear relationship between revenue and the number of downloads?

A) H_{0}: β_{1} ≠ 0

B) H_{0}: b_{1} = 0

C) H_{0}: β_{1} = 0

D H_{0}: b_{1} ≠ 0

133) Referring to Scenario 12-11, which of the following is the correct alternative hypothesis for testing whether there is a linear relationship between revenue and the number of downloads?

A) H_{1}: b_{1} ≠ 0

B) H_{1}: β_{1} ≠ 0

C) H_{1}: b_{1} = 0

D H_{1}: β_{1} = 0

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

134) Referring to Scenario 12-11, what is the value of the test statistic for testing whether there is a linear relationship between revenue and the number of downloads?

135) Referring to Scenario 12-11, what is the critical value for testing whether there is a linear relationship between revenue and the number of downloads at a 5% level of significance?

136) Referring to Scenario 12-11, what is the p-value for testing whether there is a linear relationship between revenue and the number of downloads at a 5% level of significance?

TRUE/FALSE. Write 'T' if the statement is true and 'F' if the statement is false.

137) True or False: Referring to Scenario 12-11, the null hypothesis that there is no linear relationship between revenue and the number of downloads should be rejected at a 5% level of significance.

138) True or False: Referring to Scenario 12-11, there is sufficient evidence that revenue and the number of downloads are linearly related at a 5% level of significance.

ESSAY. Write your answer in the space provided or on a separate sheet of paper.

139) Referring to Scenario 12-11, what do the lower and upper limits of the 95% confidence interval estimate for population slope?

140) Referring to Scenario 12-11, what do the lower and upper limits of the 95% confidence interval estimate for the mean change in revenue as a result of a one thousand increase in the number of downloads?