Regression analysis: five or more pages of regression analysis about human age compared to the amount of nightly sleep. 1. Explain what question is needed to address with your regression.

2. Pick the particular variables and explains. Also have at least three variables: one dependent and at least two independent variables.

3. For the data (recent data), at least 80 observations on each variable (so you can use state-level data).

4. Report the full regression equation (that is both independent variables in a single equation) along with the standard errors and p-values of the estimates. Don't write X's and Y's (i.e. Y = b0 + b1*X1 +b2*X2) write it like this: Grade = 1.8 + 4.2*IQ + 9.3*Hours of study.

5. Explain what the estimates mean.

6.Report and explain the p-values of each estimate including the intercept term.For example, assuming the p-value on IQ was 0.38, you might say the p-value for IQ is 0.38 which indicates that the coefficient of 4.2 is not significantly different than zero, so IQ does not really matter for grade.

7. Provide an F-test of the full regression and explain what it means.

8. Provide the R² of the regression and explain what it means.

9. Explain what actions the regression suggests you should take.

You must explain what problems your regression might have

Use excel to run the regression and provide the excel data