, R² = 5.1%, SER=18.6, N=30

(10.4)(0.52)

1.The t-statistic for STR implied by this regression is:

a.0.52

b.-4.38

c.67.20

d.1.76

2.What do you conclude about the significance of STR?

a. STR is significant at all significance levels 1%, 5% and 10%

b. STR is only significant only at 5%

c. STR is only significant only at 1%

d. STR is significant at 1% and 5% but not at 10%

3.What is 90% confidence interval for b₀ ?

a. [1.39, 3.16]

b. [681.21, 716.59]

c. [681.23, 716.57]

d. [1.40, 3.16]

4.What is the total sum of squares (SST)?

a. 9,687

b. 10,207

c. 5,230

d. 9,330

5.What is the correlation coefficient?

a. 22.6

b. 2.26

c. 226

d. 0.23

6.The sign of the slope coefficient implies:

a.A 1% increase in the student teacher ratio triggers a 2.28% decrease in the test score

b.A 1% increase in the student teacher ratio triggers a 2.28% increase in the test score

c.A 1 unit increase in the student teacher ratio triggers a 2.28 units increase in the test score

d.A 1 unit increase in the student teacher ratio triggers a 2.28 units decrease in the test score