(a) List two limitations of simple regression. (b) Why is estimating a multiple regression model just as easy as simple regression?

Question

Want to see more full solutions like this?

Answer 1

Textbook Question

Chapter 13, Problem 1CR

(a) List two limitations of simple regression.
(b) Why is estimating a multiple regression model just as easy as simple regression?

(a)

Expert Solution

To determine

Mention two limitations of simple regression.

Answer to Problem 1CR

The two limitations of simple regression are “multiple relationships exist between the variables” and “estimates are biased if the relevant predictors are deleted”.

Explanation of Solution

Justification: The simple regression is used for predicting the response variable based on one independent variable. The two limitations of the simple regression are,

The response variable might have relation with many predictor variables. That is multiple relationships exist between the variables.
If the proper predictor variable is removed in the study the estimates would be biased.

(b)

Expert Solution

To determine

Explain why estimating a multiple regression model is as easy as simple regression.

Explanation of Solution

Justification: The extension of the simple regression is the multiple regression. The multiple regression is used when one predictor variable is not appropriate for predicting the response variable. The multiple regression includes many predictors or explanatory variables in the model. The use of multiple regression models is as easy as simple regression because the same procedures are used in both regression. The only difference is that in simple regression one predictor variable is used but in multiple regression more than one predictor variables are used.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Students have asked these similar questions

Please could you explain why 0.5 was added to each upper limpit of the intervals.Thanks

28. (a) Under what conditions do we say that two random variables X and Y are independent? (b) Demonstrate that if X and Y are independent, then it follows that E(XY) = E(X)E(Y); (e) Show by a counter example that the converse of (ii) is not necessarily true.

1. Let X and Y be random variables and suppose that A = F. Prove that Z XI(A)+YI(A) is a random variable.

Answer 2

Textbook Question

Chapter 13, Problem 1CR

(a) List two limitations of simple regression.
(b) Why is estimating a multiple regression model just as easy as simple regression?

(a)

Expert Solution

To determine

Mention two limitations of simple regression.

Answer to Problem 1CR

The two limitations of simple regression are “multiple relationships exist between the variables” and “estimates are biased if the relevant predictors are deleted”.

Explanation of Solution

Justification: The simple regression is used for predicting the response variable based on one independent variable. The two limitations of the simple regression are,

The response variable might have relation with many predictor variables. That is multiple relationships exist between the variables.
If the proper predictor variable is removed in the study the estimates would be biased.

(b)

Expert Solution

To determine

Explain why estimating a multiple regression model is as easy as simple regression.

Explanation of Solution

Justification: The extension of the simple regression is the multiple regression. The multiple regression is used when one predictor variable is not appropriate for predicting the response variable. The multiple regression includes many predictors or explanatory variables in the model. The use of multiple regression models is as easy as simple regression because the same procedures are used in both regression. The only difference is that in simple regression one predictor variable is used but in multiple regression more than one predictor variables are used.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 3

Textbook Question

Chapter 13, Problem 1CR

(a) List two limitations of simple regression.
(b) Why is estimating a multiple regression model just as easy as simple regression?

(a)

Expert Solution

To determine

Mention two limitations of simple regression.

Answer to Problem 1CR

The two limitations of simple regression are “multiple relationships exist between the variables” and “estimates are biased if the relevant predictors are deleted”.

Explanation of Solution

Justification: The simple regression is used for predicting the response variable based on one independent variable. The two limitations of the simple regression are,

The response variable might have relation with many predictor variables. That is multiple relationships exist between the variables.
If the proper predictor variable is removed in the study the estimates would be biased.

(b)

Expert Solution

To determine

Explain why estimating a multiple regression model is as easy as simple regression.

Explanation of Solution

Justification: The extension of the simple regression is the multiple regression. The multiple regression is used when one predictor variable is not appropriate for predicting the response variable. The multiple regression includes many predictors or explanatory variables in the model. The use of multiple regression models is as easy as simple regression because the same procedures are used in both regression. The only difference is that in simple regression one predictor variable is used but in multiple regression more than one predictor variables are used.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 4

Textbook Question

Chapter 13, Problem 1CR

(a) List two limitations of simple regression.
(b) Why is estimating a multiple regression model just as easy as simple regression?

(a)

Expert Solution

To determine

Mention two limitations of simple regression.

Answer to Problem 1CR

The two limitations of simple regression are “multiple relationships exist between the variables” and “estimates are biased if the relevant predictors are deleted”.

Explanation of Solution

Justification: The simple regression is used for predicting the response variable based on one independent variable. The two limitations of the simple regression are,

The response variable might have relation with many predictor variables. That is multiple relationships exist between the variables.
If the proper predictor variable is removed in the study the estimates would be biased.

(b)

Expert Solution

To determine

Explain why estimating a multiple regression model is as easy as simple regression.

Explanation of Solution

Justification: The extension of the simple regression is the multiple regression. The multiple regression is used when one predictor variable is not appropriate for predicting the response variable. The multiple regression includes many predictors or explanatory variables in the model. The use of multiple regression models is as easy as simple regression because the same procedures are used in both regression. The only difference is that in simple regression one predictor variable is used but in multiple regression more than one predictor variables are used.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 5

Textbook Question

Answer 6

Textbook Question

Answer 7

(a)

Expert Solution

To determine

Mention two limitations of simple regression.

Answer to Problem 1CR

The two limitations of simple regression are “multiple relationships exist between the variables” and “estimates are biased if the relevant predictors are deleted”.

Explanation of Solution

Justification: The simple regression is used for predicting the response variable based on one independent variable. The two limitations of the simple regression are,

The response variable might have relation with many predictor variables. That is multiple relationships exist between the variables.
If the proper predictor variable is removed in the study the estimates would be biased.

(b)

Expert Solution

To determine

Explain why estimating a multiple regression model is as easy as simple regression.

Explanation of Solution

Justification: The extension of the simple regression is the multiple regression. The multiple regression is used when one predictor variable is not appropriate for predicting the response variable. The multiple regression includes many predictors or explanatory variables in the model. The use of multiple regression models is as easy as simple regression because the same procedures are used in both regression. The only difference is that in simple regression one predictor variable is used but in multiple regression more than one predictor variables are used.

Answer 8

(a)

Expert Solution

To determine

Mention two limitations of simple regression.

Answer to Problem 1CR

The two limitations of simple regression are “multiple relationships exist between the variables” and “estimates are biased if the relevant predictors are deleted”.

Explanation of Solution

Justification: The simple regression is used for predicting the response variable based on one independent variable. The two limitations of the simple regression are,

The response variable might have relation with many predictor variables. That is multiple relationships exist between the variables.
If the proper predictor variable is removed in the study the estimates would be biased.

Answer 9

(a)

Expert Solution

Answer 10

(a)

Expert Solution

Answer 11

Expert Solution

Answer 12

To determine

Mention two limitations of simple regression.

Answer 13

Answer to Problem 1CR

The two limitations of simple regression are “multiple relationships exist between the variables” and “estimates are biased if the relevant predictors are deleted”.

Answer 14

Explanation of Solution

Justification: The simple regression is used for predicting the response variable based on one independent variable. The two limitations of the simple regression are,

The response variable might have relation with many predictor variables. That is multiple relationships exist between the variables.
If the proper predictor variable is removed in the study the estimates would be biased.

Answer 15

(b)

Expert Solution

To determine

Explain why estimating a multiple regression model is as easy as simple regression.

Explanation of Solution

Justification: The extension of the simple regression is the multiple regression. The multiple regression is used when one predictor variable is not appropriate for predicting the response variable. The multiple regression includes many predictors or explanatory variables in the model. The use of multiple regression models is as easy as simple regression because the same procedures are used in both regression. The only difference is that in simple regression one predictor variable is used but in multiple regression more than one predictor variables are used.

Answer 16

(b)

Expert Solution

Answer 17

(b)

Expert Solution

Answer 18

Expert Solution

Answer 19

To determine

Explain why estimating a multiple regression model is as easy as simple regression.

Answer 20

Explanation of Solution

Justification: The extension of the simple regression is the multiple regression. The multiple regression is used when one predictor variable is not appropriate for predicting the response variable. The multiple regression includes many predictors or explanatory variables in the model. The use of multiple regression models is as easy as simple regression because the same procedures are used in both regression. The only difference is that in simple regression one predictor variable is used but in multiple regression more than one predictor variables are used.