The simple linear model, Y = Bo + B1 Xi + €i, is fitted to the data set. The ANOVA output is:
anova(fit) Response iris[, 1] Df Sum Sq Mean Sq F value iris[, 2] 1.412 1.41224 2 .0744 Residuals 148 100.756 0.68078
What is the conclusion of the following hypothesis test: Ho: B1 = 0 vs B1 ≠0?
A. F = 2.044 > Fo.95 (1,148), so reject Ho.
B. F = 2.044 < Fo.9s(1,148), so reject Ho.
C. F = 2.044 > Fo.9s (1,148), so fail to reject Ho.
D. F = 2.044 Fo.95 (1,148), so fail to reject Ho.