Unformatted text preview: were collected. a. Determine the regression equation. b. What is the standard error of estimate? How to interpret this statistics? c. What are the R square and adjusted R square? What is their difference? d. Test the validity of the model. (That is, all coefficients, except the intercept, are equal to 0.) e. Interpret each coefficient in the regression. f. Can Pat infer that the assignment mark is linearly related to the final grade in this model? g. Can Pat infer that the midterm mark is linearly related to the final grade in this model? h. Determine the residuals and predicted values. i. Does it appear that the normality requirement is violated? Explain. j. Is the variance of the error variable constant? Explain....
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 Spring '11
 tanaka
 Statistics, Linear Regression, Regression Analysis, 3 weeks, Final Exam Mark

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