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	LPM	Logistic
Intercept	0.67	6.90
(0.02)	(0.06)
x	0.07	0.19
(0.03)	(0.06)

Test for the significance of the intercept and the slope coefficients at the 5% level in both models.

Coefficients LPM Logistic

Intercept _________ __________

Slope __________ __________

What is the predicted probability implied by the linear probability model for x = 20 and x = 35?

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 %).

y

x = 20 __________

x = 35 ___________

What is the predicted probability implied by the logistic regression model for x = 20 and x = 35?

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 %).

y

x = 20 ____________

x = 35 ____________