Consider a binary response variable y and a predictor variable x. 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 Intercept LPM Logistic -0.67 -6.90 (0.02) (0.06) Coefficients Intercept Slope 0.07 (0.03) 0.19 (0.06) a. Test for the significance of the intercept and the slope coefficients at the 5% level in both models. LPM Logistic b. What is the predicted probability implied by the linear probability model for x = 20 and x = 357 Note; Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places. Report the probability between 0 and 1 (not in %).
Consider a binary response variable y and a predictor variable x. 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 Intercept LPM Logistic -0.67 -6.90 (0.02) (0.06) Coefficients Intercept Slope 0.07 (0.03) 0.19 (0.06) a. Test for the significance of the intercept and the slope coefficients at the 5% level in both models. LPM Logistic b. What is the predicted probability implied by the linear probability model for x = 20 and x = 357 Note; Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places. Report the probability between 0 and 1 (not in %).
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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