The rookie's model is significant overall — but read the coefficient table before celebrating.
0 / 2 graded
person
Rookie's submission
Model: runs ? home_runs + attendance
F-test: p < 0.001 "model is significant!"
Coefficients:
home_runs p = 0.0004 ***
attendance p = 0.61
"Both predictors matter."
1 · What's the error?
The F-test judges the predictors jointly. Each t-test judges one predictor on its own — and attendance's says it adds nothing once home runs are in the model.
2 · Sensible next move?
A predictor that isn't significant — and doesn't help adjusted R² — is usually better removed for a simpler, clearer model.
filter_alt
Graded — significant ≠ all matter.
Overall significance and individual significance are different questions. Always read the coefficient table, not just the F-test.
