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) At the 5% significance level, comment on the significance of the variables for both models. Variable LPM Logistic x1 ________ ______ x2 ________ ______
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) At the 5% significance level, comment on the significance of the variables for both models. Variable LPM Logistic x1 ________ ______ x2 ________ ______
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) |
-
At the 5% significance level, comment on the significance of the variables for both models.
Variable LPM Logistic
x1 ________ ______
x2 ________ ______
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