Questions: The variable of interest, is called the variable. y, explanatory y, response x, response x, explanatory
Transcript text: Question 1
20 pts
The variable of interest, $\qquad$ is called the $\qquad$ variable.
y, explanatory
y , response
x, response
x, explanatory
Solution
Solution Steps
To determine the correct pairing of the variable with its type, we need to understand the definitions: the "response" variable is typically the dependent variable (often denoted as \( y \)), and the "explanatory" variable is the independent variable (often denoted as \( x \)). Based on this, we can identify the correct pairings.
Step 1: Identify Variable Types
In the context of statistical analysis, we define two types of variables: the response variable, typically denoted as \( y \), which is dependent on other variables, and the explanatory variable, denoted as \( x \), which is independent and used to explain variations in the response variable.
Step 2: Analyze Pairings
From the possible pairings:
\( (y, \text{explanatory}) \)
\( (y, \text{response}) \)
\( (x, \text{response}) \)
\( (x, \text{explanatory}) \)
We determine that:
\( y \) is correctly identified as the response variable.
\( x \) is correctly identified as the explanatory variable.
Step 3: Conclude Correct Pairings
Thus, the correct pairings are:
\( y \) corresponds to the response variable.
\( x \) corresponds to the explanatory variable.
Final Answer
The correct answer is \( y \) as the response variable and \( x \) as the explanatory variable. Therefore, the answer is boxed as follows:
\(\boxed{y \text{ is response, } x \text{ is explanatory}}\)