Contains 20 observations on the response variable y along with the predictor variables x and d. y x d 26 80 1 16 80 1 24 59 0 13 51 0 17 55 0 16 55 1 8 20 0 15 35 1 21 48 0 17 42 0 20 78 1 14 52 1 20 62 0 15 32 0 23 45 1 6 27 0 17 65 0 22 59 1 8 21 0 15 30 1 a. Estimate a regression model with the predictor variables x and d, and then extend it to also include the interaction variable xd. What is the estimated regression coefficient for the predictor variable x in both models? (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) ) Model 1(No Interaction) = Model 2 (Interaction)= a-2. Use the preferred model to predict y. (Round coefficient estimates to at least 4 decimal places and final answers to 2 decimal places.) Predictor Variables Predicted Y x=15, d=0 ? x=15, d=1. ?
Contains 20 observations on the response variable y along with the predictor variables x and d. y x d 26 80 1 16 80 1 24 59 0 13 51 0 17 55 0 16 55 1 8 20 0 15 35 1 21 48 0 17 42 0 20 78 1 14 52 1 20 62 0 15 32 0 23 45 1 6 27 0 17 65 0 22 59 1 8 21 0 15 30 1 a. Estimate a regression model with the predictor variables x and d, and then extend it to also include the interaction variable xd. What is the estimated regression coefficient for the predictor variable x in both models? (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) ) Model 1(No Interaction) = Model 2 (Interaction)= a-2. Use the preferred model to predict y. (Round coefficient estimates to at least 4 decimal places and final answers to 2 decimal places.) Predictor Variables Predicted Y x=15, d=0 ? x=15, d=1. ?
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 7E
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Contains 20 observations on the response variable y along with the predictor variables x and d.
| y | x | d |
| 26 | 80 | 1 |
| 16 | 80 | 1 |
| 24 | 59 | 0 |
| 13 | 51 | 0 |
| 17 | 55 | 0 |
| 16 | 55 | 1 |
| 8 | 20 | 0 |
| 15 | 35 | 1 |
| 21 | 48 | 0 |
| 17 | 42 | 0 |
| 20 | 78 | 1 |
| 14 | 52 | 1 |
| 20 | 62 | 0 |
| 15 | 32 | 0 |
| 23 | 45 | 1 |
| 6 | 27 | 0 |
| 17 | 65 | 0 |
| 22 | 59 | 1 |
| 8 | 21 | 0 |
| 15 | 30 | 1 |
a. Estimate a regression model with the predictor variables x and d, and then extend it to also include the interaction variable xd. What is the estimated regression coefficient for the predictor variable x in both models? (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) )
Model 1(No Interaction) =
Model 2 (Interaction)=
a-2. Use the preferred model to predict y. (Round coefficient estimates to at least 4 decimal places and final answers to 2 decimal places.)
Predictor Variables Predicted Y
x=15, d=0 ?
x=15, d=1. ?
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