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An article in the Journal of Clinical Endocrinology and Metabolism [Simultaneous and Continuous 24-Hour Plasma and Cerebrosp

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Answer #1

(first part) using BMI (y)as dependent variable and Age(x) as independent variable

BMI=13.8201+0.2558*Age

p-value of the regression is more than alpha=0.05, so model is not significantly explaining the variability in the dependent variable BMI

(second part) since p-value of the Age is more than alpha=0.05, so Age is not significantly related to BMI

following regression analysis information has been generated using ms-excel

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.381888
R Square 0.145839
Adjusted R Square 0.023816
Standard Error 5.539817
Observations 9
ANOVA
df SS MS F Significance F
Regression 1 36.67934 36.67934 1.195173 0.310477
Residual 7 214.827 30.68957
Total 8 251.5064
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 13.82012 9.141346 1.511826 0.174335 -7.79572 35.43597 -7.79572 35.43597
Age 0.255849 0.234029 1.093239 0.310477 -0.29754 0.809239 -0.29754 0.809239
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