Question
1. Assumptions of Regression: Check a normal probability plot of residuals and see if it is nearly a straight line. Also can examine skewness and
1. Assumptions of Regression: Check a normal probability plot of residuals and see if it is nearly a straight line. Also can examine skewness and kurtosis of residuals to check for
A. Linearity: To make sure that a straight line is the type of equation that fits best.
- B. Constant variability: To make that when you get confidence intervals to predict Y that they are accurate.
- C. Normality: To make sure that the confidence intervals and p-values that you get are accurate.
- D. Independence: To make sure that when you predict, future errors do not depend on past errors.
2. Check a plot of residuals (on the Y axis) against the time sequence (on the X axis) to see if the pattern looks random to test
A. Linearity: To make sure that a straight line is the type of equation that fits best.
- B. Independence: To make sure that when you predict, future errors do not depend on past errors.
- C. Constant variability: To make that when you get confidence intervals to predict Y that they are accurate.
- D. Normality: To make sure that the confidence intervals and p-values that you get are accurate.
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Graphical Approach To Precalculus With Limits A Unit Circle Approach, A
Authors: John E Hornsby, Margaret L Lial, Gary K Rockswold
5th Edition
0321899806, 9780321899804
