Question

a placement test is required for students desiring to take a finite mathematics course at college. the instructor of the course studies the relationship between students' placement test score and final course score. a random sample of eight students yields the following data. placement score data: 44,50,35,65,70,73,71,96 final course score: 67,88,60,74,98,84,95,100. this problem is an example of a normally distributed variable, test for independence, goodness of fit test, or linear regression?

Answer 1

The instructor's study is an example of linear regression, seeking to predict final course scores based on placement test scores.

Step-by-step explanation:

The instructor's study of the relationship between students' placement test scores and final course scores is an example of linear regression. In a linear regression, the intent is to find a linear relationship between two variables, in this case, the placement scores (independent variable) and the final course scores (dependent variable).

The instructor would use linear regression analysis to create a model that can predict final course scores based on placement test scores.