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This question requires you to use Data4 file. Run a simple linear regression using Best Buy revenue (measured in million$) as the dependent variable and

This question requires you to use Data4 file.

  1. Run a simple linear regression using Best Buy revenue (measured in million$) as the dependent variable and GDP (measured in million$) as the independent variable. Report the estimated regression line.
  2. Use the last observation in the dataset for GDP to predict the expected revenue for Best Buy. State the correct unit of your prediction.
  3. Test at the 10% significance level if revenue and GDP are positively and significantly related. State the hypothesis, criteria used, decision and conclusion.
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SUMMARY OUTPUT Regression Statistics Multiple R 0.88831027 R Square 0.78909514 Adjusted R 5 0.78714232 Standard Err 2045.43478 Observations 110 ANOVA df SS MS F Significance F Regression 1 1690588120 1690588120 404.079242 2.7245E-38 Residual 108 451850771 4183803.43 Total 109 2142438891 Coefficients tandard Errol t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept -5775.4851 621.324829 -9.2954358 1.8628E-15 -7007.0587 -4543.9115 -7007.0587 -4543.9115 GDP 0.98012642 0.04875833 20.1017224 2.7245E-38 0.88347895 1.07677389 0.88347895 1.07677389

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