Significance df SS MS F F Regression 2148222488 429644497.6 21.680 2.246E-14 Residual 94 1862816975 19817201.86 Total 99 4011039463 Standard Coefficients t Stat P-value Lower 95% Upper 95% Error Intercept 528.896 2512.847 0.210 0.8338 -4460,421 5518.213 Annual Income 2.936E- 139.220 15.531 8.964 108.382 170.058 ($1000) 14 Household Size 821.824 232.404 3.536 0.0006 360.381 1283.266 Education -1104.740 299.596 -3.687 0.0004 -1699,595 -509.885 TV Hours 20.638 27.201 0.759 0.4499 -33.371 74.646 Age -8.312 45.476 -0.183 0.8554 -98.607 81.982 Find the predicted annual charges for a 44-year old customer with an annual income of $65 (thousand), a household size of 5, 2 years of post- high school education, 32 hours of watching television per week.

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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For this question, use the following multiple regression output (which may
differ from the output in other questions, even though the variables are
the same).
SUMMARY
OUTPUT
Regression Statistics
Multiple R
0.732
R Square
0.536
Adjusted R
0.511
Square
Standard Error
4451.652
Observations
100
ANOVA
Transcribed Image Text:For this question, use the following multiple regression output (which may differ from the output in other questions, even though the variables are the same). SUMMARY OUTPUT Regression Statistics Multiple R 0.732 R Square 0.536 Adjusted R 0.511 Square Standard Error 4451.652 Observations 100 ANOVA
Significance
df
SS
MS
F
F
Regression
5
2148222488 429644497.6 21.680
2.246E-14
Residual
94
1862816975 19817201.86
Total
99
4011039463
Standard
Coefficients
t Stat
P-value
Lower 95% Upper 95%
Error
Intercept
528.896
2512.847
0.210
0.8338
-4460.421
5518.213
Annual Income
2.936E-
139.220
15.531
8.964
108.382
170.058
($1000)
14
Household Size
821.824
232.404
3.536
0.0006
360.381
1283.266
Education
-1104.740
299.596
-3.687
0.0004
-1699,595
-509.885
TV Hours
20.638
27.201
0.759
0.4499
-33.371
74.646
Age
-8.312
45.476
-0.183
0.8554
-98.607
81.982
Find the predicted annual charges for a 44-year old customer with an
annual income of $65 (thousand), a household size of 5, 2 years of post-
high school education, 32 hours of watching television per week.
Transcribed Image Text:Significance df SS MS F F Regression 5 2148222488 429644497.6 21.680 2.246E-14 Residual 94 1862816975 19817201.86 Total 99 4011039463 Standard Coefficients t Stat P-value Lower 95% Upper 95% Error Intercept 528.896 2512.847 0.210 0.8338 -4460.421 5518.213 Annual Income 2.936E- 139.220 15.531 8.964 108.382 170.058 ($1000) 14 Household Size 821.824 232.404 3.536 0.0006 360.381 1283.266 Education -1104.740 299.596 -3.687 0.0004 -1699,595 -509.885 TV Hours 20.638 27.201 0.759 0.4499 -33.371 74.646 Age -8.312 45.476 -0.183 0.8554 -98.607 81.982 Find the predicted annual charges for a 44-year old customer with an annual income of $65 (thousand), a household size of 5, 2 years of post- high school education, 32 hours of watching television per week.
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