Explain the effect income has on the outcome. Also, talk about its statistical significance.
Explain the effect income has on the outcome. Also, talk about its statistical significance.
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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Question
![Say if you intend to fit a multiple linear regression using the states data. Running the
command:
fit <- Im(csat ~ expense + percent + income + college, data=states) gives us the
following output:
Coefficients:
Estimate Std. Error t value Pr(>]t[)
(Intercept) 937.879834 28.029133 33.461 < 2e-16 ***
expense
0.003208
0.004552
0.705
0.4845
-2.780407
0.238159 -11.675 2.37e-15 ***
percent
income
college
0.815442
1.103011
0.739
0.4635
3.055360
1.566857
1.950
0.0573 .
signif. codes: 0 ***' 0.001 “**' 0.01 °*' 0.05 '.'0.1 ' ' 1
Residual standard error: 30.11 on 46 degrees of freedom
Multiple R-squared: 0.8138,
F-statistic: 50.26 on 4 and 46 DF, p-value: 3.198e-16
Adjusted R-squared: 0.7976
Explain the effect income has on the outcome. Also, talk about its statistical significance.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F61a4c06c-fd90-4acf-9c4d-dc07cb4c10c6%2F6f77a878-7cdf-4ae3-bb38-97425f252466%2F37iavqp_processed.png&w=3840&q=75)
Transcribed Image Text:Say if you intend to fit a multiple linear regression using the states data. Running the
command:
fit <- Im(csat ~ expense + percent + income + college, data=states) gives us the
following output:
Coefficients:
Estimate Std. Error t value Pr(>]t[)
(Intercept) 937.879834 28.029133 33.461 < 2e-16 ***
expense
0.003208
0.004552
0.705
0.4845
-2.780407
0.238159 -11.675 2.37e-15 ***
percent
income
college
0.815442
1.103011
0.739
0.4635
3.055360
1.566857
1.950
0.0573 .
signif. codes: 0 ***' 0.001 “**' 0.01 °*' 0.05 '.'0.1 ' ' 1
Residual standard error: 30.11 on 46 degrees of freedom
Multiple R-squared: 0.8138,
F-statistic: 50.26 on 4 and 46 DF, p-value: 3.198e-16
Adjusted R-squared: 0.7976
Explain the effect income has on the outcome. Also, talk about its statistical significance.
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