The following output was obtained from a regression analysis of the dependent variable Rating and an independent
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Question:
- The following output was obtained from a regression analysis of the dependent variable Rating and an independent variable Price.
ANOVA | ||||
df | SS | MS | F | |
Regression | 1 | 372.707 | 372.707 | 42.927 |
Residual | 15 | 130.234 | 8.682 | |
Total | 16 | 502.941 | ||
Coefficients | Standard Error | t Stat | P-value | |
Intercept | 45.623 | 3.630 | 12.569 | 0.000 |
Price | 0.107 | 0.016 | 6.552 | 0.000 |
- Use the critical value approach to perform an F test for the significance of the linear relationship between Rating and Price at the 0.05 level of significance.
- Calculate the coefficient of determination.
- What percentage of the variability of Rating can be explained by its linear relationship with Price?
- What is the sample correlation coefficient?
- What is the estimated regression equation?
- Use the p-value approach to perform a t test for the significance of the linear relationship between Price and Rating at the 0.05 level of significance.
Related Book For
Applied Regression Analysis and Other Multivariable Methods
ISBN: 978-1285051086
5th edition
Authors: David G. Kleinbaum, Lawrence L. Kupper, Azhar Nizam, Eli S. Rosenberg
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