Using the linear probability model, estimate the probability of a loan being approved when the Down Payment = $8,000 and the Car Price = $25,000? (Round final answers to 4 decimal places) Probability: b.Using the logistic regression model, estimate the probability of a loan being approved when the Down Payment = $8,000 and the Car Price = $25,000? (Round final answers to 4 decimal places) Probability: d. Which one of the following statements about the linear probability model and the logistic regression model is true? multiple choice 1 Both the logistic regression model and the linear probability model can yield probability estimates greater than 1 or less than 0. Only the logistic regression model is guaranteed to yield probability estimates between 0 and 1. Only the linear probability model is guaranteed to yield probability estimates between 0 and 1. Both the logistic regression model and the linear probability model always yield probability estimates between 0 and 1. e.Which one of the following statements about the linear probability model is true? multiple choice 2 A) The linear probability model is fit by minimizing the sum of squares of the residuals. B) The error terms included in the linear probability model satisfy standard regression assumptions. Both A) and B) Neither A) nor B)
Using the linear probability model, estimate the probability of a loan being approved when the Down Payment = $8,000 and the Car Price = $25,000? (Round final answers to 4 decimal places) Probability: b.Using the logistic regression model, estimate the probability of a loan being approved when the Down Payment = $8,000 and the Car Price = $25,000? (Round final answers to 4 decimal places) Probability: d. Which one of the following statements about the linear probability model and the logistic regression model is true? multiple choice 1 Both the logistic regression model and the linear probability model can yield probability estimates greater than 1 or less than 0. Only the logistic regression model is guaranteed to yield probability estimates between 0 and 1. Only the linear probability model is guaranteed to yield probability estimates between 0 and 1. Both the logistic regression model and the linear probability model always yield probability estimates between 0 and 1. e.Which one of the following statements about the linear probability model is true? multiple choice 2 A) The linear probability model is fit by minimizing the sum of squares of the residuals. B) The error terms included in the linear probability model satisfy standard regression assumptions. Both A) and B) Neither A) nor B)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Using the linear
Probability:
b.Using the logistic regression model, estimate the probability of a loan being approved when the Down Payment = $8,000 and the Car Price = $25,000? (Round final answers to 4 decimal places)
Probability:
d. Which one of the following statements about the linear probability model and the logistic regression model is true?
multiple choice 1
-
Both the logistic regression model and the linear probability model can yield probability estimates greater than 1 or less than 0.
-
Only the logistic regression model is guaranteed to yield probability estimates between 0 and 1.
-
Only the linear probability model is guaranteed to yield probability estimates between 0 and 1.
-
Both the logistic regression model and the linear probability model always yield probability estimates between 0 and 1.
e.Which one of the following statements about the linear probability model is true?
multiple choice 2
-
A) The linear probability model is fit by minimizing the sum of squares of the residuals.
-
B) The error terms included in the linear probability model satisfy standard regression assumptions.
-
Both A) and B)
-
Neither A) nor B)
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