do you understand this

2. 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 shown at the top of the next page: DEPENDENT VARIABLE: Y R-SQUARE F-RATIO P-VALUE ON F OBSERVATIONS: 30 0.5223 8.747 0.0187 PARAMETER STANDARD VARIABLE ESTIMATE ERROR T-RATIO P-VALUE INTERCEPT 800.0 189.125 4.23 0.0029 X -2.50 0.850 -2.94 0.0187 a. The equation of the sample regression line is b. Test the intercept and slope estimates for statistical significance at the 5 percent significance level. The critical t-value is The parameter estimate for a is which (is, is not) statistically significant. The parameter estimate for b is which (is, is not) statistically significant. c. Test the overall equation for statistical significance at the 5 percent significance level. Explain how you performed this test and present your results. Interpret the p- value for the F-statistic. d. If X equals 500, the fitted (or predicted) value of Y is e. The fraction of the total variation in Y explained by the regression is percent