Linear regression analysis was applied between sales data (yin $1,000s) and advertising expenditures (xin $100s) A random sample of 17 observations led to the following information ANOVA df SS MS F Regression 225 Error Total 300 Coefficients Standard Error t Stat Intercept 12 Expenditure 1 8 0 2683 The (positive) criticaltvalue for testing whetherxandyare related at a 1 significance level is A 2 947 B 1 753 C 2 121 D 2 131

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Question: Linear regression analysis was applied between sales data (yin $1,000s) and advertising expenditures (xin $100s). A random sample of 17 observations led to the following

Linear regression analysis was applied between sales data (yin $1,000s) and advertising expenditures (xin $100s). A random sample of 17 observations led to the following information:

ANOVA
	df	SS	MS	F
Regression		225
Error
Total		300

Coefficients

Standard Error

t Stat

Intercept

Expenditure

1.8

0.2683

The (positive) criticaltvalue for testing whetherxandyare related at a 1% significance level is

A.	2.947
B.	1.753
C.	2.121
D.	2.131

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