Question

Write out the null hypothesis, explain what the analysis is looking at, calculate anything you think needs calculating (like expected cell counts), identify whether you think the null is right, and then tell the manager what the results mean.

14. Multiple Regression

Source	Variation	F	p
Predicted	575	12.87	.01
Error	2000
Total	2575

Dependent Variable = $ spent on product category

R² = ?

	b	Beta	p
Hours spent on recreation	5.75	.762	.000
Hours spent listening to music	8.66	.003	.961

15. Multifactor ANOVA A = type of ad; B = price level

Source	Variation	F	p
Main Effect (A)	27.5	2.11	.24
Main Effect (B)	58.9	6.75	.03
A x B Interaction	45.7	4.98	.05
Within	325
Total	457.1

Dependent Variable = Purchase Intention

Means

	Ad 1	Ad 2
Price 1	7.5	3.5
Price 2	4.0	8.2

16. Multifactor ANOVA A = type of ad; B = price level

Source	Variation	F	p
Main Effect (A)	48	1.22	.45
Main Effect (B)	72	2.55	.56
A x B Interaction	20	1.89	.65
Within	1560
Total	1700

Dependent Variable = Purchase Intention

Means

	Ad 1	Ad 2
Price 1	6.4	4.6
Price 2	5.7	7.5

Answer 1

14)

R SQUARE = SSR/SST

= 575/2575

=0.223

P =.01  

alpha,α =    0.05

Decison:   p value < α , So, Reject Ho  

Conclusion:   Reject Ho and conclude that correlation is significantly different from zero     

Hours spent on recreation is signifivcant as p is less than 0.05 but Hours spent listening to music is insignificant.

15)

Main Effect (A)	27.5	2.11	.24	p value > α , Insignificant
Main Effect (B)	58.9	6.75	.03	p value < α , significant
A x B Interaction	45.7	4.98	.05	p value = α , insignificant

16)

Main Effect (A)	48	1.22	.45	p value > α , Insignificant
Main Effect (B)	72	2.55	.56	p value > α , Insignificant
A x B Interaction	20	1.89	.65	p value > α , Insignificant

Model is insignificant.

THANKS

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