(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 |
An article in the Journal of Clinical Endocrinology and Metabolism ["Simultaneous and Continuous 24-Hour Plasma and...