conduct an individual significance tests at the 5% significance level to determine if SQFT is a significant predictor of Price

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter6: Applications Of The Derivative
Section6.CR: Chapter 6 Review
Problem 33CR
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For the simple regression equation (a), conduct an individual significance tests at the 5% significance level to determine if SQFT is a significant predictor of Price.

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2A
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.6115362
R Square
0.3739766
Adjusted R S 0.3516186
Standard Err 106918.89
Observations
30
ANOVA
df
SS
MS
Significance F
Regression
1
1.912E+11
1.912E+11 16.726759 0.0003301
Residual
28
3.201E+11 1.143E+10
Total
29
5.113E+11
Coefficients tandard Erro
t Stat
P-value
Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept
168078.69
39929.15 4.2094231 0.0002391
86287.531
249869.84
86287.531 249869.84
SQ. FOOT
71.964224
17.59587 4.0898361 0.0003301
35.920719 108.00773 35.920719
108.00773
Transcribed Image Text:2A SUMMARY OUTPUT Regression Statistics Multiple R 0.6115362 R Square 0.3739766 Adjusted R S 0.3516186 Standard Err 106918.89 Observations 30 ANOVA df SS MS Significance F Regression 1 1.912E+11 1.912E+11 16.726759 0.0003301 Residual 28 3.201E+11 1.143E+10 Total 29 5.113E+11 Coefficients tandard Erro t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 168078.69 39929.15 4.2094231 0.0002391 86287.531 249869.84 86287.531 249869.84 SQ. FOOT 71.964224 17.59587 4.0898361 0.0003301 35.920719 108.00773 35.920719 108.00773
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ISBN:
9780321964038
Author:
GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:
Pearson Addison Wesley,