Interpret the final result and Draw conclusions and recommendations for the following information using the below linear regression analysis information:

a =2238.383423, b = -215.6952394, c = -115.7793199, and d = 0.041157311.

The approximate regression equation will be:

QD =2238.383423-215.6952394* P-115.7793199 *R +0.041157311* M

 Explanation:

The demand Equation is given by:

Demand equation: QD = a + b P + c PR + d M

Where QD is the quantity demanded for this good, P is the price per unit, PR is the price of the related good(s) in consumption (substitute or complement) and M is consumer income.

The results obtained from multiple linear Regression model is:

Regression Statistics
Multiple R	0.980212113
R Square	0.960815786
Adjusted R Square	0.95611368
Standard Error	104.7293523
Observations	29

The R-square and the adjusted R-square value is 0.960815786 and 0.95611368. This signifies that the regression model has fitted the data.

ANOVA
	df	SS	MS	F	Significance F
Regression	3	6723661.421	2241220.474	204.3373447	1.04584E-17
Residual	25	274205.931	10968.23724
Total	28	6997867.352

From the ANOVA Table, it can be observed that the F-score is 204.3373447.

	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	2238.383423	222.7644461	10.0482077	2.90956E-10	1779.591458	2697.175	1779.59146	2697.175388
Price of American Cheese (P)	-215.6952394	112.8682107	-1.911036227	0.067531187	-448.1516706	16.76119	-448.151671	16.7611918
Price of ham (PR)	-115.7793199	43.3386963	-2.671499833	0.013092455	-205.0370358	-26.5216	-205.037036	-26.52160409
Average Income (M)	0.041157311	0.00400409	10.27881639	1.83539E-10	0.032910732	0.049404	0.03291073	0.04940389

From the above table, it can be observed that the values of a =2238.383423, b = -215.6952394, c = -115.7793199, and d = 0.041157311.

Therefore, the approximate regression equation will be:

QD =2238.383423-215.6952394* P-115.7793199 *R +0.041157311* M