Questions: Two variables are said to display correlation if - both measure the same thing. - one occurs before the other. - they are caused by the same factor. - they vary together.

Two variables are said to display correlation if
- both measure the same thing.
- one occurs before the other.
- they are caused by the same factor.
- they vary together.
Transcript text: Two variables are said to display correlation if $\qquad$ both measure the same thing. one occurs before the other. they are caused by the same factor. they vary together.
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Solution

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Solution Steps

Step 1: Calculate Covariance

The covariance between the variables \( X \) and \( Y \) is calculated as follows:

\[ \text{Cov}(X,Y) = 5.0 \]

Step 2: Calculate Standard Deviations

The standard deviations of \( X \) and \( Y \) are given by:

\[ \sigma_X = 1.58 \] \[ \sigma_Y = 3.16 \]

Step 3: Calculate Correlation Coefficient

The correlation coefficient \( r \) is computed using the formula:

\[ r = \frac{\text{Cov}(X,Y)}{\sigma_X \sigma_Y} \]

Substituting the values:

\[ r = \frac{5.0}{1.58 \times 3.16} = 1.0 \]

Final Answer

The correlation coefficient indicates a perfect positive correlation between the variables \( X \) and \( Y \). Thus, the answer is:

\[ \boxed{r = 1.0} \]

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