Answered: 10 13 136 O Compute the residuals.…

Math

Statistics

10 13 136 O Compute the residuals. Years of Annual Sales Residuals Experience ($1,000s) 80 97 4 92 3.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

A statistical program is recommended.
A sales manager collected the following data on x = years of experience and y
= annual sales ($1,000s). The estimated regression equation for these data is ŷ
= 81 + 4x.
Years of
Annual Sales
Salesperson
Experience
($1,000s)
1
80
2
97
3
4
92
4
4
107
6.
103
6.
8.
111
7
10
119
8.
10
128
9.
11
117
10
13
136
(a)
Compute the residuals.
Years of
Annual Sales
Residuals
Experience
($1,000s)
1
80
3
97
4
92
4
107
103
8
111

8.
111
10
119
10
128
11
117
13
136
Construct a residual plot.
16
16
16
12
12
8-
8-
8.
4
4
4
-4
-4
-4
-8
-8-
-8
- 12-
- 12
- 12-
- 16
0 2
-16
-16-
4
6 8
10
12
14
4 6 8
10
12
14
4
6 8
10
12
14
Years of Experience
Years of Experience
Years of Experience
16
12
8
4
-4
-8-
- 12
-16
0 2
4
8
10
12
14
Years of Experience
Residuals
Residuals
O N CO

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