Statistics for the Behavioral Sciences
Statistics for the Behavioral Sciences
3rd Edition
ISBN: 9781506386256
Author: Gregory J. Privitera
Publisher: SAGE Publications, Inc
bartleby

Concept explainers

bartleby

Videos

Question
Book Icon
Chapter 16, Problem 19CAP

1.

To determine

Find the equation of the regression line.

1.

Expert Solution
Check Mark

Answer to Problem 19CAP

The equation of the regression line is, Y^=0.36X+13.17.

Explanation of Solution

Calculation:

The information given that is the case files to record the age of five criminals and the age of the victim in those cases with the factors age of a criminal (X) predicts the age of the victim (Y) for nonviolent crimes.

The procedure of straight line by using the method of least square is shown below:

  • Compute preliminary calculations.
  • Calculate the slope (b).
  • Calculate the y-intercept (a).

The formula for slope is,

slope(b)=SSXYSSX

Where,

SSXY=(XMX)(YMY)

SSX=(XMX)2

In the formulas, MX denotes the mean of factor X, MY denotes the mean of factor Y.

The formula for y-intercept is,

a=MYbMX

The regression equation is, Y^=bX+a.

The value of SSX:

The value of mean for X is,

MX=32+24+28+17+125=1135=22.6

XY(XMX)(XMX)2
3224(3222.6)=9.488.36
2420(2422.6)=1.41.96
2825(2822.6)=5.429.16
1722(1722.6)=5.631.36
1216(1222.6)=10.6112.36
(XMX)2=263.2

Table 1

The value of SSX is 263.2.

The value of SSXY:

The value of mean for Y is,

MY=24+20+25+22+165=1075=21.4

XY(XMX)(XMY)(XMX)(XMY)
3224(3222.6)=9.4(2421.4)=2.624.44
2420(2422.6)=1.4(2021.4)=1.4–1.96
2825(2822.6)=5.4(2521.4)=3.619.44
1722(1722.6)=5.6(2221.4)=0.6–3.36
1216(1222.6)=10.6(1621.4)=5.457.24
(XMX)(XMY)=95.8

Table 2

The value of SSXY is 95.8.

Slope:

Substitute, SSX=263.2 and SSXY=95.8 in slope formula

slope(b)=95.8263.2=0.364

Hence, the value of slope is 0.364.

Substitute, MY=21.4,MX=22.6,b=0.364 in y-intercept formula.

a=MYbMX=21.4(0.364)22.6=21.48.2264=13.174

Hence, the value of y-intercept is 13.174.

Substitute, a=13.174,b=0.364 in regression equation formula.

Y^=(0.364)X+13.174=0.36X+13.17

The equation of the regression line is, Y^=0.36X+13.17.

2.

To determine

Find the predicted age of a victim of a nonviolent crime when the criminal is 20 years old.

2.

Expert Solution
Check Mark

Answer to Problem 19CAP

The predicted age of a victim of a nonviolent crime when the criminal is 20 years old is 20.37 years old.

Explanation of Solution

Calculation:

The given information is that the criminal is 20 years old.

The equation of the regression line is Y^=0.36X+13.17.

Substitute, X=20 in regression line.

Y^=0.36(20)+13.174=7.2+13.17=20.37

Hence, the predicted age of a victim of a nonviolent crime when the criminal is 20 years old is 20.37 years old.

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
1 - Multiple Regression Equations and Predictions with XLMiner Analysis ToolPak (Structured) Video The owner of Showtime Movie Theaters, Inc., would like to predict weekly gross revenue as a function of advertising expenditures. Historical data for a sample of eight weeks are entered into the Microsoft Excel Online file below. Use the XLMiner Analysis ToolPak to perform your regression analysis in the designated areas of the spreadsheet. Due to a recent change by Microsoft you will need to open the XLMiner Analysis ToolPak add-in manually from the home ribbon. Screenshot of ToolPak X Open spreadsheet a. Develop an estimated regression equation with the amount of television advertising as the independent variable (to 2 decimals). JAN 27 Revenue = × TVAdv + b. Develop an estimated regression equation with both television advertising and newspaper advertising as the independent variables (to 2 decimals). Revenue = + TVAdy + NewsAdv c. Is the estimated regression equation coefficient for…
Question 2: When John started his first job, his first end-of-year salary was $82,500. In the following years, he received salary raises as shown in the following table. Fill the Table: Fill the following table showing his end-of-year salary for each year. I have already provided the end-of-year salaries for the first three years. Calculate the end-of-year salaries for the remaining years using Excel. (If you Excel answer for the top 3 cells is not the same as the one in the following table, your formula / approach is incorrect) (2 points) Geometric Mean of Salary Raises: Calculate the geometric mean of the salary raises using the percentage figures provided in the second column named “% Raise”. (The geometric mean for this calculation should be nearly identical to the arithmetic mean. If your answer deviates significantly from the mean, it's likely incorrect. 2 points) Hint for the first part of question 2: To assist you with filling out the table in the first part of the question,…
Consider a sample with data values of 27, 25, 20, 15, 30, 34, 28, and 25. Compute the range, interquartile range, variance, and standard deviation (to a maximum of 2 decimals, if decimals are necessary). Range   Interquartile range   Variance   Standard deviation
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.
Similar questions
SEE MORE QUESTIONS
Recommended textbooks for you
Text book image
Functions and Change: A Modeling Approach to Coll...
Algebra
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Cengage Learning
Text book image
College Algebra
Algebra
ISBN:9781337282291
Author:Ron Larson
Publisher:Cengage Learning
Text book image
College Algebra
Algebra
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:Cengage Learning
Text book image
Algebra and Trigonometry (MindTap Course List)
Algebra
ISBN:9781305071742
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:Cengage Learning
Text book image
Linear Algebra: A Modern Introduction
Algebra
ISBN:9781285463247
Author:David Poole
Publisher:Cengage Learning
Text book image
Elementary Linear Algebra (MindTap Course List)
Algebra
ISBN:9781305658004
Author:Ron Larson
Publisher:Cengage Learning
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