1. Exhibit 7-1.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	11
   Expenditure	2	0.2683

   Refer to Exhibit 7-1. If $3,000 is spent on advertising, what are the predicted sales?

   A.	6011
   B.	5410
   C.	71000
   D.	66,000

1 points

QUESTION 6

1. Refer to Exhibit 7-1.If $500 additional dollars is spent on advertising, then the predicted sales will

   A.	9000
   B.	10,000
   C.	12,000
   D.	3600

1 points

QUESTION 7

1. Refer to Exhibit 7-1. ___ percent of variationsin sales was explained by advertising expenditures.

   A.	75
   B.	80
   C.	70
   D.	85

1 points

QUESTION 8

1. Refer to Exhibit 7-1. The value of thetstatistic for testing whetherxandyare related is

   A.	6.71
   B.	7.45
   C.	1.96
   D.	9.55

1 points

QUESTION 9

1. Refer to Exhibit 7-1. Thep-value for testing whetherxandyare related is

   A.	between 0.001and 0.01
   B.	between 0.01and 0.05
   C.	less than 0.00025
   D.	more than 0.1

1 points

QUESTION 10

1. Refer to Exhibit 7-1. The 99% confidence interval for the parameter₁inextends from

   1.2288 to 2.3724

   1.0090 to 2.5910

   1.2093 to 2.7907

   0.9492 to 2.6515