Question
Question 8 What might you conclude if two variables have a strong positive linear correlation? Increases in one variable cause increases in the other. The two variables measure the same construct. There is a predictive relationship between the variables. The variables tend to increase together. Moving to the next question prevents changes to this answer.
Ask by Bartlett Thornton. in the United States
Mar 10,2025
Upstudy AI Solution
Tutor-Verified Answer
Answer
The variables tend to increase together.
Solution
1. A strong positive linear correlation means that as one variable increases, the other variable also tends to increase.
2. Although it may seem to suggest that one variable could be used to predict the other, correlation alone does not imply causation.
3. Also, a strong correlation does not necessarily mean the variables are measuring the same construct.
Thus, the correct conclusion is that the variables tend to increase together.
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\textbf{Answer: The variables tend to increase together.}
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When two variables exhibit a strong positive linear correlation, it suggests that they tend to increase together. In practical terms, if you observe one variable rising, it's likely that the other variable will rise as well. Think of it like a dynamic duo at a dance party—when one takes a step forward, the other follows suit and they create a groovy rhythm together! However, it’s crucial to remember that correlation does not imply causation; just because two variables are linked, it doesn’t mean one causes the other. Sometimes, a third variable is at play, pulling the strings behind the scenes! So, while they may dance together, they might not be in it for the same reasons.
