In: Economics
Now omit both price and temperature from the regression equation. Should a marketing plan for soft drinks be designed that relocates most canned drink machines into low income neighborhoods? why or why not? Need help explaining.
what is the equation?
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.334438716 | |||||||
R Square | 0.111849255 | |||||||
Adjusted R Square | 0.09254163 | |||||||
Standard Error | 64.17439829 | |||||||
Observations | 48 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 23857.66046 | 23857.66 | 5.793009528 | 0.020161697 | |||
Residual | 46 | 189444.2562 | 4118.353 | |||||
Total | 47 | 213301.9167 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 254.5629047 | 41.09081851 | 6.195129 | 1.47561E-07 | 171.851377 | 337.27443 | 171.851377 | 337.274432 |
Income/Capita | -5.968537136 | 2.479794994 | -2.40687 | 0.020161697 | -10.96010557 | -0.9769687 | -10.96010557 | -0.9769687 |
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.334438716 | |||||||
R Square | 0.111849255 | |||||||
Adjusted R Square | 0.09254163 | |||||||
Standard Error | 64.17439829 | |||||||
Observations | 48 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 23857.66046 | 23857.66 | 5.793009528 | 0.020161697 | |||
Residual | 46 | 189444.2562 | 4118.353 | |||||
Total | 47 | 213301.9167 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 254.5629047 | 41.09081851 | 6.195129 | 1.47561E-07 | 171.851377 | 337.27443 | 171.851377 | 337.274432 |
Income/Capita | -5.968537136 | 2.479794994 | -2.40687 | 0.020161697 | -10.96010557 | -0.9769687 | -10.96010557 | -0.976968 |