Question 1 Suppose a multiple regression model is fitted into a variable called model. Which Python method
Question:
Question 1
Suppose a multiple regression model is fitted into a variable called model. Which Python method below returns fitted values for a data set based on a multiple regression model? Select one.
Question 1 options:
fittedvalues.model
model.values
model.fittedvalues
values.model
Question 2
Which of the following choices correctly identifies the following Q-Q plots for the normality of residuals assumption? Select one.
Question 2 options:
Both graphs show residuals with a distribution that is not Normal.
Graph A shows residuals with a distribution that more closely approximates a Normal distribution than Graph B.
Graphs A and B both show residuals with distributions that closely approximate a Normal distribution.
Graph B shows residuals with a distribution that more closely approximates a Normal distribution than Graph A.
Question 3
Suppose a multiple regression model is fitted into a variable called model. Which Python method below returns residuals for a data set based on a multiple regression model? Select one.
Question 3 options:
model.residualsvalues
model.residuals
model.residvalues
model.resid
Question 4
Which of the following correctly shows the general form of a multiple regression model? Select one.
Question 4 options:
![image text in transcribed](https://s3.amazonaws.com/si.experts.images/answers/2024/07/6691b8d651d40_0706691b8d640b7c.jpg)
![image text in transcribed](https://s3.amazonaws.com/si.experts.images/answers/2024/07/6691b8d6a6b2e_0706691b8d681084.jpg)
Quantitative Investment Analysis
ISBN: 978-1119104223
3rd edition
Authors: Richard A. DeFusco, Dennis W. McLeavey, Jerald E. Pinto, David E. Runkle