1 What is the R^2 Value for your regression equation?
2 What is the value of the coefficient of Blue Collar in your equation?
3 What is the lower limit of the 95% CI for this coefficient?
4 What is the upper limit of the 95% CI for this coefficient?
5 Interpret the 95% confidence interval for the B1 parameter
6 What is the p-value for your ANOVA test?
7 Interpret your ANOVA table - does the explanatory variable provide
8 Interpret your ANOVA table - does the explanatory variable provide
at least some power in estimating the dependent variable?
9 What is the relationship between the t-ratio for the estimated
coefficient of the explanatory variable and the F-ratio in the ANOVA
section of the output?
10 Do these two test statistic values provide the same indication
regarding a possiible relationship between yearly changes in the
wages and salaries of white-collar and blue-collar workers?
Explain why or why not.
The solution provides step by step method for the calculation of confidence interval estimation for regression coefficients . Formula for the calculation and Interpretations of the results are also included.
Regression Coefficient Tests and Confidence Intervals
Please answer the following questions:
(a) Explain why a confidence interval for the slope or intercept would be equivalent to a two-tailed hypothesis test.
(b) Why is it especially important to test for a zero slope?View Full Posting Details