Linear Regression Model
Y ~ X
coefficients:
EstimateStd. Errort valuePr(>|t|)
(Intercept)-41.79221.464-1.9470.06
X13.5134.4873.0120.005
- - -
Residual Std. Err. 72.241 on 33 df
Multiple R-sq. 0.216
Adjusted R-sq. 0.192


ANOVA Statistics
DfSum SqMean SqF valuePr(>F)
X147340.68347340.6839.0710.005
Residuals33172221.4895218.833