) After the first exam in a large course, the professor surveyed 14 randomly selected students to determine the relation between
the amount of time they spent studying for the exam and exam score. She found that a linear relation exists between the two variables. The least-squares regression line that describes this relation is . (a) Predict the exam score of a student who studied 2 hours.
(b) Write an interpretation for the slope. (Refer to Lesson 12.2 for this.)
(c) Write an interpretation for the y-intercept, if appropriate. If not appropriate, explain why not. (Again, refer to Lesson 12.2 for this.)
2) In what scenarios would it not make sense to interpret the y-intercept?
The test predicted that Erin will not have a heart attack. The probability after the test was taken that she will have a heart attack is <span>0.4653. the rest of teh choices do not answer the question above.</span>
