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
This exercise is part of the course
Modeling with Data in the Tidyverse
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Use fitted intercept and slope to get a prediction
y_hat <- ___ + ___ * ___
y_hat