We will predict hourly income based on the number of years of experience. Use an alpha level of 5% and the output below to answer the questions: SUMMARY OUTPUT Regression Statistics Multiple R R Square Standard Error Observations ANOVA Regression Residual 0.956 2.579 11 df 1 SS 59.864

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter4: Equations Of Linear Functions
Section: Chapter Questions
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We will predict hourly income based on the number of years of experience. Use an
alpha level of 5% and the output below to answer the questions:
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Standard Error
Observations
ANOVA
Regression
Residual
Total
0.956
2.579
11
df
1
10
SS
Intercept
experience
What can we conclude?
59.864
688.545
Coefficients Standard Error
16.223
1.720
1.410
0.177
There is a linear relationship between the two variables.
There is NO linear relationship between the two variables.
Transcribed Image Text:We will predict hourly income based on the number of years of experience. Use an alpha level of 5% and the output below to answer the questions: SUMMARY OUTPUT Regression Statistics Multiple R R Square Standard Error Observations ANOVA Regression Residual Total 0.956 2.579 11 df 1 10 SS Intercept experience What can we conclude? 59.864 688.545 Coefficients Standard Error 16.223 1.720 1.410 0.177 There is a linear relationship between the two variables. There is NO linear relationship between the two variables.
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