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Regression Analysis. ANOVA

Question 129

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Regression Analysis.
Regression Analysis. ANOVA Regression output A local grocery store wants to predict its daily sales in dollars. The manager believes that the amount of newspaper advertising significantly affects sales. He randomly selects 7 days of data consisting of daily grocery store sales (in thousands of dollars) and advertising expenditures (in thousands of dollars). The Excel/MegaStat output given above summarizes the results of the regression model. Determine a 95 percent confidence interval estimate of the daily average store sales based on $3,000 advertising expenditures. The distance value for this particular prediction is reported as .164. ANOVA
Regression Analysis. ANOVA Regression output A local grocery store wants to predict its daily sales in dollars. The manager believes that the amount of newspaper advertising significantly affects sales. He randomly selects 7 days of data consisting of daily grocery store sales (in thousands of dollars) and advertising expenditures (in thousands of dollars). The Excel/MegaStat output given above summarizes the results of the regression model. Determine a 95 percent confidence interval estimate of the daily average store sales based on $3,000 advertising expenditures. The distance value for this particular prediction is reported as .164. Regression output
Regression Analysis. ANOVA Regression output A local grocery store wants to predict its daily sales in dollars. The manager believes that the amount of newspaper advertising significantly affects sales. He randomly selects 7 days of data consisting of daily grocery store sales (in thousands of dollars) and advertising expenditures (in thousands of dollars). The Excel/MegaStat output given above summarizes the results of the regression model. Determine a 95 percent confidence interval estimate of the daily average store sales based on $3,000 advertising expenditures. The distance value for this particular prediction is reported as .164. A local grocery store wants to predict its daily sales in dollars. The manager believes that the amount of newspaper advertising significantly affects sales. He randomly selects 7 days of data consisting of daily grocery store sales (in thousands of dollars) and advertising expenditures (in thousands of dollars). The Excel/MegaStat output given above summarizes the results of the regression model.
Determine a 95 percent confidence interval estimate of the daily average store sales based on $3,000 advertising expenditures. The distance value for this particular prediction is reported as .164.

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[$71,311, $95,355]
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