• Based on below information please answer the following questions?
• What is the overall relationship between the two variables in each tab? Is there a positive or negative relationship?
• Based on the R squared for each run, do we have a strong linear relationship for each grouping? How do you know?

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SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Foot Traffic $30,000 $25,000 $20,000 $15,000 $10,000 $5,000 $0 0 0.995930124 0.991876812 0.991637895 527.549924 df 36 500 SS 1 1155413052 34 9462503.36 35 1164875556 t Stat P-value Lower 95% Upper 95% Coefficients Standard Error Lower 95.0% Upper 95.0% -576.2071985 236.7744742 -2.433569752 0.020358522 -1057.390824 -95.02357342 -1057.390824 -95.02357342 9.60255078 0.149032691 64.43251296 3.98135E-37 9.299679912 9.905421647 9.299679912 9.905421647 Total Revenue www.toms 1000 MS F 1155413052 4151.548726 278308.9224 1500 y = 9.6026x-576.21 2000 2500 Significance F 3.98135E-37 3000 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Foot Traffic $30,000 $25,000 $20,000 $15,000 $10,000 $5,000 $0 0 0.995930124 0.991876812 0.991637895 527.549924 df 36 500 SS 1 1155413052 34 9462503.36 35 1164875556 t Stat P-value Lower 95% Upper 95% Coefficients Standard Error Lower 95.0% Upper 95.0% -576.2071985 236.7744742 -2.433569752 0.020358522 -1057.390824 -95.02357342 -1057.390824 -95.02357342 9.60255078 0.149032691 64.43251296 3.98135E-37 9.299679912 9.905421647 9.299679912 9.905421647 Total Revenue www.toms 1000 MS F 1155413052 4151.548726 278308.9224 1500 y = 9.6026x-576.21 2000 2500 Significance F 3.98135E-37 3000