Consider a binary response variable y and two predictor variables x1 and x2. The following table contains the parameter estimates of the linear probability model (LPM) and the logistic regression model, with the associated p-values shown in parentheses. Variable LPM Logistic Intercept −0.50 −1.90 (0.02) (0.06) x1 0.26 0.99 (0.06) (0.06) x2 −0.06 −0.30 (0.01) (0.04) What is the predicted probability implied by the logistic model for x1 = 8 with x2 equal to 10 and 25? y x1 = 8, x2 = 10 _______ x1 = 8, 2 = 25 _______
Consider a binary response variable y and two predictor variables x1 and x2. The following table contains the parameter estimates of the linear probability model (LPM) and the logistic regression model, with the associated p-values shown in parentheses. Variable LPM Logistic Intercept −0.50 −1.90 (0.02) (0.06) x1 0.26 0.99 (0.06) (0.06) x2 −0.06 −0.30 (0.01) (0.04) What is the predicted probability implied by the logistic model for x1 = 8 with x2 equal to 10 and 25? y x1 = 8, x2 = 10 _______ x1 = 8, 2 = 25 _______
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Consider a binary response variable y and two predictor variables x1 and x2. The following table contains the parameter estimates of the linear
| Variable | LPM | Logistic |
|---|---|---|
| Intercept | −0.50 | −1.90 |
| (0.02) | (0.06) | |
| x1 | 0.26 | 0.99 |
| (0.06) | (0.06) | |
| x2 | −0.06 | −0.30 |
| (0.01) | (0.04) |
What is the predicted probability implied by the logistic model for x1 = 8 with x2 equal to 10 and 25?
y
x1 = 8, x2 = 10 _______
x1 = 8, 2 = 25 _______
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