SUMMARY OUTPUT Regression Statistics Multiple R 0.0227529 R Square 0.0005177 Adjusted R Sc -0.0203049 Standard Erro 378.28974 Observations 50 ANOVA df MS Significance F Regression 1 3557.8486 3557.8486 0.0248621 0.8753725 Residual 48 6868950.2 143103.13 Total 49 6872508 Coefficients tandard Erroi t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 1180.5337 108.77574 10.852914 1.624E-14 961.82544 1399.242 961.82544 1399.242 Age -0.6763456 4.2894294 -0.1576773 0.8753725 -9.3008216 7.9481303 -9.3008216 7.9481303

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question

Would the Age be a significant predictor of Assessed Value?

SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Sc -0.0203049
Standard Erro 378.28974
0.0227529
0.0005177
Observations
50
ANOVA
df
SS
MS
F
Significance F
Regression
Residual
1
3557.8486
3557.8486 0.0248621
0.8753725
48
6868950.2
143103.13
Total
49
6872508
Coefficients tandard Erroi
t Stat
P-value
Lower 95%
Upper 95% Lower 95.0% Upper 95.0%
Intercept
1180.5337
108.77574
10.852914
1.624E-14
961.82544
1399.242
961.82544
1399.242
Age
-0.6763456
4.2894294 -0.1576773
0.8753725 -9.3008216
7.9481303 -9.3008216
7.9481303
Transcribed Image Text:SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Sc -0.0203049 Standard Erro 378.28974 0.0227529 0.0005177 Observations 50 ANOVA df SS MS F Significance F Regression Residual 1 3557.8486 3557.8486 0.0248621 0.8753725 48 6868950.2 143103.13 Total 49 6872508 Coefficients tandard Erroi t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 1180.5337 108.77574 10.852914 1.624E-14 961.82544 1399.242 961.82544 1399.242 Age -0.6763456 4.2894294 -0.1576773 0.8753725 -9.3008216 7.9481303 -9.3008216 7.9481303
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