Below you are given a partial computer output based on a sample of 8 observations, relating an independent variable (x) and a dependent variable (y). (3 points for each part)

	Coefficient	Standard Error
Intercept	250	7.032
X	24	0.184

Analysis of Variance
SOURCE	SS
Regression	201
Error (Residual)	33

1. The estimated regression line is

a. y= 250-24 x

B. Y= 250+24x

c. Y= 24+250x

d. 24-250x

e. 250+24y

2. The percentage of variation in Y due to X is

a. 98.7%

b 74.3%

c. 34.5%

d. 84.1%

e. 99.8%

3. Using a=.05, the value of the test statistic F is

A. 5.99

B. 6.33

C. 17.39

D 31.74

E. 201.00

4. Using a=.05 the value of critical value of F is

a. 5.99

b. 8.07

c. 17.39

d. 233.99

e. 4.46

5. Using a=.05 what is the critical value of F?

a. since the value of F is greater than the value of critical F, the regression model is significant

b. Since the value of F is greater tahn the value of Critical F, the regression model is insignificant

c. Since the value of F is less than the value of Critical F, the regression model is significant

d. Since the value of F is less than the value of Critical F, the regression model us insignificant

e. Since the value of F is less than the value of F critical F, the intercept can be ignored when predicting the value of Y.