Explain the effect income has on the outcome. Also, talk about its statistical significance.

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Chapter1: Computer Networks And The Internet
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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.
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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