Question

question 2
a chemistry professor suspects that there is a relationship between the number of classes a student misses and that students score on the final exam (from 0 to 100%). the professor chooses a random sample of students in introduction to chemistry and collects data about each students final exam score and number of missed days of class.
which of the following is the most appropriate statistical test to use to determine if there is a relationship between number of missed classes and final exam scores?
a. matched pairs
b. inference for regression
c. anova
d. two - sample t - test
e. chi - squared test for independence

Explanation:

Step1: Analyze the problem type

We want to find relationship between two numerical variables (number of missed classes and final - exam scores).

Step2: Recall statistical tests

Matched pairs is for paired data of same subjects in different situations. ANOVA is for comparing means of multiple groups. Two - sample t - test is for comparing means of two independent groups. Chi - squared test for independence is for categorical variables. Inference for regression is used to determine if there is a linear relationship between two numerical variables.

Answer:

B. Inference for regression