gression following questions: Model Summary Adjusted R Square Std. Error of the Durbin- Model R R Square Estimate Watson .842. .710 .630 109.430 1.158 ΑNOVA Sum of Squares Model JP Mean Square F Sig. Regression 321946.82 3 107315.6 8.96 0.0027 Residual 131723.20 11 11974.8 Total 453670.00 14 Coefficients Standardized Coefficients Unstandardized Coefficients Model в Std. Error Beta Sig. (Constant) X Variable 1 X Variable 2 X Variable 3 657.053 167.46 3.92 .0024 5.7103 1.792 -.101 3.19 .0087 -0.4169 0.322 -.077 -1.29 2222 -3.4715 1.443 -7.996 -2.41 .0349

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 4GP
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At α-value=0.01, test whether there is a significant relationship between the
dependent variable (Y) and the independent variables (X1, X2 and X3).

Based on the given multiple regression output tables below, answer the following
questions:
Model Summary
Adjusted R
Square
Std. Error of the
Estimate
Durbin-
Model
R
R Square
Watson
1
.842.
.710
.630
109.430
1.158
ANOVA
Sum of
Squares
Model
df
Mean Square
F
Sig.
Regression
321946.82
3
107315.6
8.96
0.0027
Residual
131723.20
11
11974.8
Total
453670.00
14
Coefficients
Standardized
Coefficients
Unstandardized Coefficients
Model
B
Std. Error
Beta
Sig.
(Constant)
657.053
167.46
3.92
.0024
X Variable 1
X Variable 2
X Variable 3
5.7103
1.792
-.101
3.19
.0087
-0.4169
0.322
-.077
-1.29
.2222
-3.4715
1.443
-7.996
-2.41
.0349
Transcribed Image Text:Based on the given multiple regression output tables below, answer the following questions: Model Summary Adjusted R Square Std. Error of the Estimate Durbin- Model R R Square Watson 1 .842. .710 .630 109.430 1.158 ANOVA Sum of Squares Model df Mean Square F Sig. Regression 321946.82 3 107315.6 8.96 0.0027 Residual 131723.20 11 11974.8 Total 453670.00 14 Coefficients Standardized Coefficients Unstandardized Coefficients Model B Std. Error Beta Sig. (Constant) 657.053 167.46 3.92 .0024 X Variable 1 X Variable 2 X Variable 3 5.7103 1.792 -.101 3.19 .0087 -0.4169 0.322 -.077 -1.29 .2222 -3.4715 1.443 -7.996 -2.41 .0349
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