Predicting test scores
With the relationship between the hours of study and the scores that students got on a given test, you already got the parameters of a linear model, slope
and intercept
. With those parameters, let's predict the test score for a student who studies for 10 hours.
For this exercise, the linregress()
function has been imported for you from scipy.stats
.
This exercise is part of the course
Foundations of Probability in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Get the predicted test score for given hours of study
score = slope*____ + ____
print('score:', ____)