In: Statistics and Probability
Following is a simple linear regression model:
yi = a+ bxi +ei
The following results were obtained from some statistical software.
R2 = 0.523
syx(regression standard error) = 3.028
n (total observations) = 41
Significance level = 0.05 = 5%
Variable |
Parameter Estimate |
Std. Err. of Parameter Est. |
||
Interecpt |
0.519 |
0.132 |
||
Slope of X |
-0.707 |
0.239 |
||
Note: For all the calculated numbers, keep three decimals.
6. |
A 95% confidence interval for the slope b in the simple linear regression model is (10 points): |
7. |
A 95% confidence interval for the intercept a in the simple linear regression model is (10 points): |
8. The correlation coefficient r between the x and y is (10 points):
10. What is the meaning of the intercept in this simple linear regression model (5
points)?
11. SST = ? (10 points)
12. Are the intercept and slope significant at 5% significance level (Please use
the hypothesis test instead of looking at the confidence intervals) (10 points)?