11) Assume that coefficient -50 and standard error is 10, t-stat would be

Select one:

a.-5

b.-500

c.5

d.500

12) Assume that F test is 35 and degrees of freedom of Sum of Squares due to Regression (SSR) is 2 and Total Sum of Squares (SST) is 19 what would be the F-critical value if alpha = .01

Select one:

a.6.01

b.5.93

c.6.11

d.246.10

13) Assume that sum of squares due to regression (SSR) is 500 and the sum of squares due to error (SSE) =200. Coefficient of determination would be

Select one:

a.0.400

b.0.600

c.0.714

d.2.500

14) Assume that Sum of Squares due to Regression (SSR) is 800 with 2 degrees of freedom and Total Sum of Squares (SST)=970 with 19 degrees of freedom, F value would be

Select one:

a.45

b.50

c.40

d.35

15) Assume that Sum of Squares due to Regression (SSR) is 800 with 2 degrees of freedom and Total Sum of Squares (SST)=970 with 20 degrees of freedom, regression standard error would be

Select one:

a.2.418

b.3.073

c.9.444

d..0196

16) Assume that the probability of committing a Type II error () is 10%, you can tell that the power of the test is

Select one:

a.unknown.

b.90%.

c.95.0%.

d.5%.

17) Assume we have created a 90% confidence interval foruwith the result 10 u 15. What would be our decision if we testH0:u= 15.5 andH1:u 15.5 at alpha= 0.10?

Select one:

a.Do not reject H0 in favor of H1.

b.Reject H0 in favor of H1.

c.Fail to reject H0 in favor of H1.

d.We cannot tell what our decision will be from the information given.

18) For a given level of significance (Alpha), if the sample size n is decreased, the probability of a Type II error (beta)

Select one:

a.will remain the same.

b.will decrease.

c.cannot be determined.

d.will increase.

19) If R square=0.852, what is the correct interpretation of R square

Select one:

a.85.2% of the variability in x has been explained by the estimated regression equation.

b.0.852 of the variability in x has been explained by the estimated regression equation.

c.0.852% of the variability in y has been explained by the estimated regression equation.

d.85.2% of the variability in y has been explained by the estimated regression equation.

20) If R-squared = 0.962. Correlation coefficient would be

Select one:

a.0.9254

b.0.9808

c.0.9062

d.0.8161

21) If you were constructing a 99% confidence interval of the population mean based on a sample of n = 24 where the standard deviation of the sample S = 0.05, the critical value of t will be

Select one:

a.2.797.

b.2.492.

c.2.787.

d.2.807.