ii. Estimate the multiple regression equation and report and interpret the results.

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ii. Estimate the multiple regression equation and report and interpret the results.

math Statistics-And-Probability

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Answer 1

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Excel > Data > Data Analysis > Regression

SUMMARY OUTPUT

Regression Statistics
Multiple R	0.281179532
R Square	0.079061929
Adjusted R Square	0.011676217
Standard Error	23.46976611
Observations	45

ANOVA
	df	SS	MS	F	Significance F
Regression	3	1938.82388	646.2746268	1.173274367	0.331641182
Residual	41	22584.02676	550.829921
Total	44	24522.85064

	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	156.9759072	57.47053394	2.731415501	0.009257536	40.91180936	273.0400051	40.91180936	273.0400051
Rainfall	0.10225057	0.196587703	0.52012699	0.605772383	-0.29476635	0.499267489	-0.29476635	0.499267489
Pesticide	-0.232545938	0.190739308	-1.21918204	0.229743027	-0.617751785	0.152659908	-0.617751785	0.152659908
Fertilizer	0.089801399	0.169024693	0.531291596	0.598083496	-0.251550894	0.431153692	-0.251550

ii)

Y = 156.9759+0.1023*Rainfall-0.2325*Pesticide+0.0898*Fertilizer

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Answer 2

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ii. Estimate the multiple regression equation and report and interpret the results.

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