Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Home Size And Value. On the WeisStats Site are data on home size and assessed value for the same homes in exercise 4.73

a. Obtain the scatterplot for the data

b. Decide whether finding a regression line for the data is reasonable. if so, then also do parts (c)-(f)

c. Determine and interpret the regression equation for the data

d.Identify the potential outliers and influential observation

e. In case a potential outlier is present, remove it and discuss the effect.

f. In case potential influential observations is present,remove it and discuss the effect.

Short Answer

Expert verified

(a)

b) Yes, it is reasonable

(c) The regression equation for the data isy^=111.5233+0.1116x

(d) There is no potential outliers and influential observation .

(e) Not applicable

(f) Not applicable

Step by step solution

01

Part(a) Step 1: Given Information  

Given in the question that, Home Size And Value. On the WeisStats Site are data on home size and assessed value for the same homes in exercise 4.73. we have to obtain the scatterplot for the data.

02

Part(a) Step 2: Explanation  

03

Part(b) Step 1: Given Information  

Given in the question that, Home Size And Value. On the WeisStats Site are data on home size and assessed value for the same homes in exercise 4.73. we have to decide whether finding a regression line for the data is reasonable

04

Part(b) Step 2: Explanation  

If the scatterplot has no strong curvature, it is reasonable to find the regression line for the data.

Because the scatterplot has no strong curvature, it is reasonable to identify the regression line to the data. The graph shows left to right upward trend

05

Part(c) Step 1: Given Information  

Given in the question that, Home Size And Value. On the WeisStats Site are data on home size and assessed value for the same homes in exercise 4.73. we have to determine and interpret the regression equation for the data.

06

Part(c) Step 2: Explanation 

Formula used to find the regression equation is

y^=b0+b1x

where,

b0=111.5233

b1=0.1116

therefore,

y^=111.5233+0.1116x

07

Part(d) Step 1: Given Information 

Given in the question that, Home Size And Value. On the WeisStats Site are data on home size and assessed value for the same homes in exercise 4.73. we have to identify the potential outliers and influential observation.

08

Part(d) Step 2: Explanation 

An outlier is a data point that is far off the regression line.

An influential observation is one where the removal of a point causes a significant change in the regression equation. That instance, removing a point causes a significant shift in the regression line's direction.

There are no potential outliers in the dataset because all of the points are closed to the regression line in the plotted graph. There is no considerable change in the direction of the regression line when a point is removed, hence there are no potentially influencing observations.

09

Part(e) Step 1: Given Information  

Given in the question that, Home Size And Value. On the WeisStats Site are data on home size and assessed value for the same homes in exercise 4.73. we have to obtain in case a potential outlier is present, remove it and discuss the effect.

10

Part(e) Step 2: Explanation  

There are no outliers in part d so this is not applicable.

11

Part(f) Step 1: Given Information  

Given in the question that, Home Size And Value. On the WeisStats Site are data on home size and assessed value for the same homes in exercise 4.73. we have to obtain in case potential influential observations is present,remove it and discuss the effect.

12

Part(f) Step 2: Explanation  

There is no potential influential observation in part d. so this is not applicable.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

The coefficient of determination of a set of data points is 0.70yand the slope of the regression line is -3.58. Determine the linear correlation coefficient of the data.

Tine Series. A collection of observations of a variable y taken at regular intervals over time is called a time series. Bocoomsic data and electrical signals are examples of time series. We can think of a time series as providing data points x1+y2where x0is the ith observation time and yiis the observed value of y at time xi. If a time series exhibits a linear trend, we can find that trend by determining the regression equation for the data points. We can then use the regression equation for forecasting purposes.

As an illustration, consider the data on the WeissStats site that shows the U.S. population, in millions of persons, for the years 1900 2013. as provided by the I.S. Census Beret.

a. Use the technology of your choice to lesbian a scatterplot of the data.

h. Use the technology of your choice to find the regression equation.

6. Use your result from part (b) to forecast the U.S. population for the years 2014 and 2015 .

For regression analysis, 55T=8291.0and 5SR=7626.6.

a. Obtain and interpret the coefficient of determination.

b. Determine SSE :

Determine the linear correlation coefficient by formula and definition.

The linear correlation coefficient of a set of data points is (),โ€ค16.

a. Is the slope of the regression line positive or negative? Explain your answers.

b. Determine the coefficient of determination.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free