1. Thirty data points on Y and X are employed to estimate the parameters in the linear relation Y= a + bX. The computer output from the regression analysis is DEPENDENT VARIABLE: Y R-SQUARE F-RATIO P-VALUE ON F OBSERVATIONS: 30 0.3301 13.79 0.0009 PARAMETER STANDARD VARIABLE ESTIMATE ERROR T-RATIO P-VALUE INTERCEPT 93.54 46.210 2.02 0.0526 X 3.25 0.875 3.71 0.0009 a. The equation of the sample regression line is Y = b. There are degrees of freedom for the f-test. At the 1% level of sig- nificance, the critical /-value for the test is C. At the 1% level of significance, a (is, is not) significant, and b (is, is not) significant. d. At the 2% level of significance, the critical -value for a f-test is At the 2% level of significance, a (is, is not) significant, and b (is, is not) significant. e. The p-value for b indicates that the exact level of significance is percent, which is the probability of