Making predictions using "beauty score"
Say there is an instructor at UT Austin and you know nothing about them except that their beauty score is 5. What is your prediction \(\hat{y}\) of their teaching score \(y\)?
get_regression_table(model_score_2)
term estimate std_error statistic p_value lower_ci upper_ci
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 intercept 3.88 0.076 51.0 0 3.73 4.03
2 bty_avg 0.067 0.016 4.09 0 0.035 0.099
Questo esercizio fa parte del corso
Modeling with Data in the Tidyverse
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Use fitted intercept and slope to get a prediction
y_hat <- ___ + ___ * ___
y_hat