Now omit both price and temperature from the regression equation. Should a marketing plan for soft...

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

Expert Solution

Rahul Sunny answered 2 years ago

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