Stats: Modeling the World Nasta Edition Grades 9-12
Stats: Modeling the World Nasta Edition Grades 9-12
3rd Edition
ISBN: 9780131359581
Author: David E. Bock, Paul F. Velleman, Richard D. De Veaux
Publisher: PEARSON
bartleby

Concept explainers

bartleby

Videos

Question
Book Icon
Chapter 8, Problem 34E

(a)

To determine

To explain is a regression model appropriate for predicting mortgage amount from interest rates.

(a)

Expert Solution
Check Mark

Answer to Problem 34E

Yes, it is appropriate.

Explanation of Solution

In the question the plot of mortgage amount versus the interest rates at various times is given. Also, it is mentioned that:

  r=0.84μ1=151.9μ2=8.88σ1=23.86σ2=2.58

Thus, we can say that the regression model is appropriate for predicting mortgage amount from interest rates because both interest rate and total mortgage are quantitative and the scatterplot looks fairly straight. The spread is fairly constant and there are no outliers.

(b)

To determine

To find out what is the equation that predicts mortgage amount from interest rates.

(b)

Expert Solution
Check Mark

Answer to Problem 34E

  M^ ortgage=220.887.768Interest .

Explanation of Solution

In the question the plot of mortgage amount versus the interest rates at various times is given. Also, it is mentioned that:

  r=0.84μ1=151.9μ2=8.88σ1=23.86σ2=2.58

Thus, the equation that predicts mortgage amount from interest rates can be calculated as:

  β=r×σ1σ2=0.84×23.862.58=7.786α=μ1β×μ2=151.9+7.768×8.88=220.88

And therefore the regression equation will be:

  M^ ortgage=α+β(Interest)=220.887.768Interest

(c)

To determine

To find out what would you predict the mortgage amount would be if the interest rates climbed to 20% .

(c)

Expert Solution
Check Mark

Answer to Problem 34E

The mortgage amount will be of $ 65.52 million.

Explanation of Solution

In the question the plot of mortgage amount versus the interest rates at various times is given. Also, it is mentioned that:

  r=0.84μ1=151.9μ2=8.88σ1=23.86σ2=2.58

And therefore the regression equation will be:

  M^ ortgage=α+β(Interest)=220.887.768Interest

Thus, the mortgage amount would be if the interest rates climbed to 20% can be calculated as:

  M^ ortgage=α+β(Interest)=220.887.768Interest=220.887.768×20=65.52

Thus, with the interest rate of 20% , we would predict a mortgage amount of $ 65.52 million.

(d)

To determine

To explain do you have any reservations about your prediction in part (c).

(d)

Expert Solution
Check Mark

Answer to Problem 34E

No, we do not have reservations.

Explanation of Solution

In the question the plot of mortgage amount versus the interest rates at various times is given. Also, it is mentioned that:

  r=0.84μ1=151.9μ2=8.88σ1=23.86σ2=2.58

And therefore the regression equation will be:

  M^ ortgage=α+β(Interest)=220.887.768Interest

Thus, we do not have any reservations about prediction in part (c) because we are extrapolating beyond the range of our data and cannot be sure that the linear relationship still remains.

(e)

To determine

To find out what would be the regression equation that predicts standardized mortgage amount from standardized interest rates.

(e)

Expert Solution
Check Mark

Answer to Problem 34E

  z^Mortgage=0.84zinterest .

Explanation of Solution

In the question the plot of mortgage amount versus the interest rates at various times is given. Also, it is mentioned that:

  r=0.84μ1=151.9μ2=8.88σ1=23.86σ2=2.58

Thus, if we standardized both the variables that is, mortgage amount and the interest rates, then the regression equation that predicts standardized mortgage amount from standardized interest rates will be as:

  z^Mortgage=0.84zinterest

(f)

To determine

To find out what would be the regression equation that predicts standardized interest rates from standardized mortgage amount.

(f)

Expert Solution
Check Mark

Answer to Problem 34E

  z^Interest=0.84zMortgage .

Explanation of Solution

In the question the plot of mortgage amount versus the interest rates at various times is given. Also, it is mentioned that:

  r=0.84μ1=151.9μ2=8.88σ1=23.86σ2=2.58

Thus, if we standardized both the variables that is, mortgage amount and the interest rates, then the regression equation that predicts standardized interest rates from standardized mortgage amount will be as:

  z^Interest=0.84zMortgage

Knowledge Booster
Background pattern image
Statistics
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
Text book image
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Text book image
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Text book image
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Text book image
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
Text book image
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Text book image
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman
Correlation Vs Regression: Difference Between them with definition & Comparison Chart; Author: Key Differences;https://www.youtube.com/watch?v=Ou2QGSJVd0U;License: Standard YouTube License, CC-BY
Correlation and Regression: Concepts with Illustrative examples; Author: LEARN & APPLY : Lean and Six Sigma;https://www.youtube.com/watch?v=xTpHD5WLuoA;License: Standard YouTube License, CC-BY