Linear Regression Model
Y ~ X
coefficients:
EstimateStd. Errort valuePr(>|t|)
(Intercept)135.1634.78228.2640
X-0.6670.089-7.5050
- - -
Residual Std. Err. 9.969 on 86 df
Multiple R-sq. 0.396
95% CI Multiple R-sq. [0.234, 0.525]
Adjusted R-sq. 0.389


ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
Add15597.7145597.71456.3260
Residuals868546.7399.381