دا A Moving to another question will save this response. << Question 5 of 10 >>> Question 5 1 points Save Answer Consider a regression model which predicts annual income on the basis of years of education (years_ed) and years of age (years_age). Using the regression output below, write the regression equation using problem-specific variable names. You may round values to whole numbers. Coefficients Standardized Model 1 Unstandardized Coefficients B (Constant) -138671.684 Coefficients 95.0% Confidence Interval for B Std. Error Beta t Sig. Lower Bound Upper Bound 39682.261 -3.495 .003 -222393.937 -54949.431 years_ed 9588.893 2539.098 580 3.776 .002 4231.865 14945.922 years_age 2234.556 879.885 .390 2.540 .021 378.162 4090.951 a. Dependent Variable: annual income
دا A Moving to another question will save this response. << Question 5 of 10 >>> Question 5 1 points Save Answer Consider a regression model which predicts annual income on the basis of years of education (years_ed) and years of age (years_age). Using the regression output below, write the regression equation using problem-specific variable names. You may round values to whole numbers. Coefficients Standardized Model 1 Unstandardized Coefficients B (Constant) -138671.684 Coefficients 95.0% Confidence Interval for B Std. Error Beta t Sig. Lower Bound Upper Bound 39682.261 -3.495 .003 -222393.937 -54949.431 years_ed 9588.893 2539.098 580 3.776 .002 4231.865 14945.922 years_age 2234.556 879.885 .390 2.540 .021 378.162 4090.951 a. Dependent Variable: annual income
Chapter3: Polynomial Functions
Section: Chapter Questions
Problem 18T
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Consider a regression model which predicts annual income on the basis of years of education (years_ed) and years of age (years_age). Using
the regression output below, write the regression equation using problem-specific variable names. You may round values to whole numbers.
Coefficients
Standardized
Model
1
Unstandardized Coefficients
B
(Constant) -138671.684
Coefficients
95.0% Confidence Interval for B
Std. Error
Beta
t
Sig.
Lower Bound
Upper Bound
39682.261
-3.495
.003
-222393.937
-54949.431
years_ed
9588.893
2539.098
580
3.776
.002
4231.865
14945.922
years_age
2234.556
879.885
.390
2.540
.021
378.162
4090.951
a. Dependent Variable: annual income
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