Question

atalog The owner of Showtime Movie Theaters, Inc, le regression analysis to predict gross revenue as a function of television advertising and newspaper advertising Weekly Revende (11000) Televison Advertising (1000) Newspaper Mdvertising (1000) The estimated regression equation was 87+ 1.2 - 0.1 The computer solution provided SST - 34,SSR - 22.008 a. Comoute Re (to 3 decimals). 0.977 Compute to decimals). b. when television advertising was the only independent 0.31 and 0. Are the multiple regression analysis results preferable? pps.ng.cengage.com /takeAssignment/ tessigmentMain.do?take AssignmentSession Locator assignment-take,596697a3-10

Answer 1

Question 1:

The regression output is:

	R²	0.934
	Adjusted R²	0.907
	R	0.966
	Std. Error	0.564
	n	8
	k	2
	Dep. Var.	y
ANOVA table
Source	SS	df	MS	F	p-value
Regression	22.4076	2	11.2038	35.18	.0011
Residual	1.5924	5	0.3185
Total	24.0000	7
Regression output					confidence interval
variables	coefficients	std. error	t (df=5)	p-value	95% lower	95% upper
Intercept	86.9926
x1	1.8236	0.2177	8.376	.0004	1.2640	2.3833
x2	0.0976	0.2042	0.478	.6528	-0.4272	0.6224

(a) R² = 0.934

R_a² = 0.907

(b) Yes