Homework 2: Quiz format for True/False and
Multiple Choice
Due Feb 14 at 11:59pm Points 50 Questions 26
Available Feb 1 at 8am - Feb 14 at 11:59pm 14 days Time Limit None
Instructions
Due: Feb 14 at 11:59 p.m. Eastern
Attention: You only have ONE attempt to answer the True/False (30 pts.) and Multiple-choice (20
pts.) questions.
This quiz is no longer available as the course has been concluded.
Attempt History
Attempt Time Score
LATEST Attempt 1 2,917 minutes 50 out of 50
Score for this quiz: 50 out of 50
Submitted Feb 12 at 5:59am
This attempt took 2,917 minutes.
Question 1 1..5 pts
[3.1. Objectives and Data Examples] Prediction is the only objective of
multiple linear regression.
,Correct! False
See 3.1. Objectives and Data Examples
"Typically, a regression analysis is used for following purposes:
● Prediction of the target or response variable,
● Modeling the relationship of association between predicting
variables and the response variable,
● Testing hypothesis."
Question 2 1..5 pts
[3.2. Basic Concepts] In multiple linear regression, we study the
relationship between a single response variable and several predicting
quantitative and/or qualitative variables.
Correct! True
See 3.2. Basic Concepts
"In multiple linear regression, the data consists of the response
variable and a series of predicting or explanatory variables. More
specifically, we observe "n" realizations of the response variable
along with the corresponding predicting variables."
, Question 3 1..5 pts
[3.2. Basic Concepts] A multiple linear regression model contains 5
quantitative predicting variables and an intercept. The number of
parameters to estimate is 6.
Correct! False
See 3.2. Basic Concepts
The model parameters are: Q0, Q1, … , Q5, σ2
Thus 7.
Question 4 1..5 pts
[3.2. Basic Concepts] Given a qualitative predicting variable with 7
categories in a linear regression model with intercept, 7 dummy
variables need to be included in the model.
Correct!
False
Multiple Choice
Due Feb 14 at 11:59pm Points 50 Questions 26
Available Feb 1 at 8am - Feb 14 at 11:59pm 14 days Time Limit None
Instructions
Due: Feb 14 at 11:59 p.m. Eastern
Attention: You only have ONE attempt to answer the True/False (30 pts.) and Multiple-choice (20
pts.) questions.
This quiz is no longer available as the course has been concluded.
Attempt History
Attempt Time Score
LATEST Attempt 1 2,917 minutes 50 out of 50
Score for this quiz: 50 out of 50
Submitted Feb 12 at 5:59am
This attempt took 2,917 minutes.
Question 1 1..5 pts
[3.1. Objectives and Data Examples] Prediction is the only objective of
multiple linear regression.
,Correct! False
See 3.1. Objectives and Data Examples
"Typically, a regression analysis is used for following purposes:
● Prediction of the target or response variable,
● Modeling the relationship of association between predicting
variables and the response variable,
● Testing hypothesis."
Question 2 1..5 pts
[3.2. Basic Concepts] In multiple linear regression, we study the
relationship between a single response variable and several predicting
quantitative and/or qualitative variables.
Correct! True
See 3.2. Basic Concepts
"In multiple linear regression, the data consists of the response
variable and a series of predicting or explanatory variables. More
specifically, we observe "n" realizations of the response variable
along with the corresponding predicting variables."
, Question 3 1..5 pts
[3.2. Basic Concepts] A multiple linear regression model contains 5
quantitative predicting variables and an intercept. The number of
parameters to estimate is 6.
Correct! False
See 3.2. Basic Concepts
The model parameters are: Q0, Q1, … , Q5, σ2
Thus 7.
Question 4 1..5 pts
[3.2. Basic Concepts] Given a qualitative predicting variable with 7
categories in a linear regression model with intercept, 7 dummy
variables need to be included in the model.
Correct!
False
