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A chemistry professor suspects that there is a relationship between the number of classes a student misses and that student’s 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 student’s 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? Inference for regression Chi-squared test for independence Two-sample t-test ANOVA Matched pairs

Question

A chemistry professor suspects that there is a relationship between the number of classes a student misses and that student’s 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 student’s 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? Inference for regression Chi-squared test for independence Two-sample t-test ANOVA Matched pairs

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Solution

The most appropriate statistical test to use in this scenario would be "Inference for regression". This is because you are trying to determine if there is a relationship between two quantitative variables - number of missed classes (independent variable) and final exam scores (dependent variable). Inference for regression is used to analyze the relationship between two quantitative variables.

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