Question: In assignment 1, you defined the outcome (dependent) variable and predictor (independent) variable. Now, conduct simple regression that predicts the outcome variable from the predictor from this sample data. Save the following output, as Appendix A, to assist with your analysis:

• ANOVA Table
• Regression output table
• Output residuals
• Diagnostics and Influential Residuals
• Plot Residuals by Predicted Y and X
• Normal Probability Plot of Residuals

Then answer the following questions:

1. (7 pts.) Write equations for this regression model at the population level (two equations: one for scores and the other for regression line). Define each element in the equation.
2. (7 pts.) Check the "Regressions Output" table. What is the value of b ₀ and b ₁ ? Based on the obtained values of b ₀ and b ₁ , write the unstandardized regression equations for this model (two equations: one for observed scores and the other for regression line).
3. (7 pts.) Interpret the value of b ₀ and b ₁ . Suppose the score on the predictor variable increases by 3 points, what the impact on the scores of the outcome variable?
4. (7 pts.) Obtain the value of MSE (mean square error) and SEE (Standard Error of the Estimate). What do these two values tell you? Comparing these two values to the variance and standard deviation of the outcome variable, does predictor seem to help in predicting the outcome variable?
5. (7 pts.) Check residuals and studentized residuals, which case(s) seem to be outlier(s)? Support your answer with appropriate indices. Explain in words the meaning of the largest studentized residual value for b ₁ .

Price: $2.99

Solution: The downloadable solution consists of 6 pages
Deliverable: Word Document