StatTutor Lesson - Explanatory and response variables

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      Questions 1-2

      281

      Question 1.

      Which variable is the outcome variable?

      		A.
      		B.
      Incorrect. The outcome variable is measured at the end of a study and is called the response variable.
      Correct. The outcome variable is measured at the end of a study and is called the response variable.
      Incorrect. Try again.
      2

      Question 3

      472

      Question 3.

      For which example are both variables categorical?

      		A.
      		B.
      		C.
      Incorrect. ACT math score, college algebra grade, a male's height at age 4 and his height as an adult are all quantitative variables. Only gender and whether a person exercises are categorical.
      Correct. ACT math score, college algebra grade, a male's height at age 4 and his height as an adult are all quantitative variables. Only gender and whether a person exercises are categorical.
      Incorrect. Try again.
      2

      Question 4

      481

      Question 4.

      Suppose we want to use outside daily temperature to predict daily coal consumption, which variable is the explanatory variable?

      		A.
      		B.
      Incorrect. The predictor variable is the explanatory variable. Here we want to use outside daily temperature for our prediction, so it is the explanatory variable.
      Correct. The predictor variable is the explanatory variable. Here we want to use outside daily temperature for our prediction, so it is the explanatory variable.
      Incorrect. Try again.
      2

      Questions 5-6

      555

      Question 5.

      What is the first rule in analyzing bivariate data when both variables are quantitative?

      		A.
      		B.
      		C.
      Incorrect. We always plot the data first so that we know whether the model we want to use is an appropriate one. For example, if the relationship is not linear, we don't want to model the relationship with a line.
      Correct. We always plot the data first so that we know whether the model we want to use is an appropriate one. For example, if the relationship is not linear, we don't want to model the relationship with a line.
      Incorrect. Try again.
      2