What is the point estimate of the annual income of a salesperson with three years of college? Test whether the number of years in college has a significant impact on income at α= .05. What are the hypotheses? How do you test the hypotheses? What is the conclusion? What is the value of the correlation coefficient between dependent variable and independent variable? What is the implication of the correlation coefficient? What is the R Square of this model? What does it mean? Use the information in ANOVA table to calculate R square.
What is the point estimate of the annual income of a salesperson with three years of college? Test whether the number of years in college has a significant impact on income at α= .05. What are the hypotheses? How do you test the hypotheses? What is the conclusion? What is the value of the correlation coefficient between dependent variable and independent variable? What is the implication of the correlation coefficient? What is the R Square of this model? What does it mean? Use the information in ANOVA table to calculate R square.
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Question
What is the point estimate of the annual income of a salesperson with three years of college?
Test whether the number of years in college has a significant impact on income at α= .05. What are the hypotheses? How do you test the hypotheses? What is the conclusion?
What is the value of the
What is the R Square of this model? What does it mean? Use the information in ANOVA table to calculate R square.

Transcribed Image Text:SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R S
Standard Errc
0.818
0.668
0.627
6.348
Observations
10.000
ANOVA
Significance F
0.004
df
S
MS
F
Regression
1.000
649.604
649.604
16.119
Residual
8.000
322.396
40.300
Total
9.000
972.000
Coefficients Standard Error
t Stat
P-value
Lower 95%
Lower 95.0% Upper 95.0%
(9.355)
Upper 95%
Intercept
6.535
6.891
0.948
0.371
(9.355)
22.425
22.425
Years in Colle
8.020
1.998
4.015
0.004
3.414
12.626
3.414
12.626
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