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Microsoft 3... OneNote SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations Regression Statistics ANOVA Regression Residual Total ake Intercept Households Dummy
Microsoft 3... OneNote SUMMARY OUTPUT Multiple R R Square Adjusted R Square Standard Error Observations Regression Statistics ANOVA Regression Residual Total ake Intercept Households Dummy Street Dummy Mall Canvas b Bill Highway IU PHI MU FALL 202... 0.993 0.987 0.983 6.349 15 df 3 11 14 Coefficients 15.0 0.9 28.4 6.9 SS 33268.70 443.47 Standard Error 6.2 0.0 4.5 4.8 MS 11089.57 40.32 t Stat 2.4 21.5 6.4 1.4 JNJ Fall 2023.xlsx F 275.07 P-value Significance F 0.00 0.0 0.0 0.0 0.2 Lower 95% member reimburs... 1.4 Upper 95% 0.8 18.6 -3.6 28.6 We estimate that the mean at sales street location is 28.4 units higher than Mall location. 1.0 38.2 17.4 B Barrons The manager wants to open a store and wants to know which location will give higher sales. Sales is dependent on number of households and location. The location data has 3 qualitative variables - street, mall, and downtown. From the regression output, interpret the b2 (slope for dummy street). WSJ
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