Standard t Coefficients Error P- Stat value Intercept N/A N/A N/A 0.0000 Age N/A N/A N/A 0.0000 Pressure N/A N/A N/A 0.0000 SST = 3,252.127 R Square = 0.462 Observations = 30 Compute the F test statistic

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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A 10-year study conducted by the American Heart Association provided data on how age and blood pressure
relate to the risk of strokes. Data from a portion of this study follow. Risk is interpreted as the probability (times
100) that a person will have a stroke over the next 10-year period..
This is a partial regression Output
SUMMARY
OUTPUT
Regression Statistics
Multiple R
N/A
R Square
0.462
Adjusted R
Square
Standard
?
Error
Observations 30
ANOVA
df
SS
MS F
Regression
?
?
?
Residual
?
?
Total
3,252.127
Transcribed Image Text:A 10-year study conducted by the American Heart Association provided data on how age and blood pressure relate to the risk of strokes. Data from a portion of this study follow. Risk is interpreted as the probability (times 100) that a person will have a stroke over the next 10-year period.. This is a partial regression Output SUMMARY OUTPUT Regression Statistics Multiple R N/A R Square 0.462 Adjusted R Square Standard ? Error Observations 30 ANOVA df SS MS F Regression ? ? ? Residual ? ? Total 3,252.127
Standard t
P-
Coefficients
Error
Stat value
Intercept
N/A
N/A
N/A0.0000
Age
N/A
N/A
N/A 0.0000
Pressure
N/A
N/A
N/A 0.0000
SST = 3,252.127
R Square = 0.462
Observations = 30
Compute the F test statistic
Transcribed Image Text:Standard t P- Coefficients Error Stat value Intercept N/A N/A N/A0.0000 Age N/A N/A N/A 0.0000 Pressure N/A N/A N/A 0.0000 SST = 3,252.127 R Square = 0.462 Observations = 30 Compute the F test statistic
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