Please help with #9-#15Thank you!

Linear Regression Model Fit Measures Overall Model Test Model df1 df2 0.988 0.975 79.5 1 2 0.012 Model Coefficients - Year Married Predictor Estimate SE Intercep 133.865 209.114 0.640 0.588 Wife birth year 0.947 0.106 8.916 0.012 Questions 9. Write the linear regression equation based on the output. 10. Use the linear regression equation to predict when you would marry Dennis Quaid if you were born in 2002. 11. When would we predict that someone would marry Dennis Quaid if they were born in 2020? 12. Think about the logic of this equation for a minute. Name one problem with using this regression equation for prediction. 13. Is the regression equation significant? How do you know? Make sure you say which value you used and where you found it. 14. What is the value of the Pearson correlation coefficient for the relationship between these two variables? 15. What is the R2 for this regression equation