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Linear Regression Model Fit Measures Model R R 1 0.467 0.218 Model Coefficients - Days Missed Predictor Estimate SE t p Intercept 3.5846 0.4182 8.57
Linear Regression
| Model Fit Measures | |||||
|---|---|---|---|---|---|
| Model | R | R | |||
| 1 | 0.467 | 0.218 | |||
| Model Coefficients - Days Missed | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Predictor | Estimate | SE | t | p | |||||
| Intercept | 3.5846 | 0.4182 | 8.57 | <.001 | |||||
| Cigarettes | 0.0641 | 0.0208 | 3.08 | 0.004 | |||||
- Using the regression equation fromquestion 5, how many days would you expect a person to miss from work if he smoked 22 cigarettes daily?
- What is the proportion of variance in the number of days missed accounted for by the number of cigarettes smoked (R2)? - look at the Model Fit Measures table
- What is the regression equation you would use if you wanted to predict the number of days a person misses from work based on the number of cigarettes smoked?
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Introductory Algebra
Authors: Alan S Tussy, Rosemary Karr, Marilyn Massey, Diane Koenig, R David Gustafson
5th Edition
1305161866, 9781305161863
