SUMMARY OUTPUT Regression Statistics Multiple 0.6918015 0.4785893 R Square Adjusted R Square 0.4311883 0.4960752 Standard Error 13 Observations ANOVA Significance F F MS SS df 10.096612 0.008800001 2.4846808 2.4846808 0.2460906 1 Regression 2.7069961 11 Residual 5.1916769 12 Total Upper 95.0% Lower 95.0% Upper 95% Standard Lower 95% P-value Error t Stat Coefficients -0.26559679 2.3211384 0.0019339 -0.265597 2.3211384 0.1081002 0.5876312 1.7490065 1.0277708 Intercept 0.0003511 0.0019339 0.0088 0.000351129 0.0003596 3.1775166 0.0011425 X Variable 1

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter4: Polynomial And Rational Functions
Section4.6: Variation
Problem 37E
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Below is the output from regression.  Use the p-value and decide if the equation is good to use for forecasting. 

 

SUMMARY OUTPUT
Regression Statistics
Multiple
0.6918015
0.4785893
R Square
Adjusted R
Square
0.4311883
0.4960752
Standard Error
13
Observations
ANOVA
Significance
F
F
MS
SS
df
10.096612 0.008800001
2.4846808 2.4846808
0.2460906
1
Regression
2.7069961
11
Residual
5.1916769
12
Total
Upper
95.0%
Lower
95.0%
Upper
95%
Standard
Lower 95%
P-value
Error
t Stat
Coefficients
-0.26559679 2.3211384
0.0019339
-0.265597 2.3211384
0.1081002
0.5876312 1.7490065
1.0277708
Intercept
0.0003511 0.0019339
0.0088 0.000351129
0.0003596 3.1775166
0.0011425
X Variable 1
Transcribed Image Text:SUMMARY OUTPUT Regression Statistics Multiple 0.6918015 0.4785893 R Square Adjusted R Square 0.4311883 0.4960752 Standard Error 13 Observations ANOVA Significance F F MS SS df 10.096612 0.008800001 2.4846808 2.4846808 0.2460906 1 Regression 2.7069961 11 Residual 5.1916769 12 Total Upper 95.0% Lower 95.0% Upper 95% Standard Lower 95% P-value Error t Stat Coefficients -0.26559679 2.3211384 0.0019339 -0.265597 2.3211384 0.1081002 0.5876312 1.7490065 1.0277708 Intercept 0.0003511 0.0019339 0.0088 0.000351129 0.0003596 3.1775166 0.0011425 X Variable 1
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