Questions: The variable of interest, is called the variable. y, explanatory y, response x, response x, explanatory

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
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Solution

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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:

\(\boxed{y \text{ is response, } x \text{ is explanatory}}\)

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