Questions: Find the value of the linear correlation coefficient r. The paired data below consist of the costs of advertising (in thousands of dollars) a certain pharmaceutical drug and the number of prescriptions written (in thousands): Cost of Advertising: 9, 2, 3, 4, 2, 5, 9, 10 Number of Prescriptions: 85, 52, 55, 68, 67, 86, 83, 73 0.235 0.246 -0.071 0.708

Find the value of the linear correlation coefficient r. The paired data below consist of the costs of advertising (in thousands of dollars) a certain pharmaceutical drug and the number of prescriptions written (in thousands):

Cost of Advertising: 9, 2, 3, 4, 2, 5, 9, 10

Number of Prescriptions: 85, 52, 55, 68, 67, 86, 83, 73

0.235 0.246 -0.071 0.708
Transcript text: Find the value of the linear correlation coefficient $r$. The paired data below consist of the costs of advertising (in thousands of dollars) a certain pharmaceutical drug and the number of prescriptions written (in thousands): \begin{tabular}{l|r|r|r|r|r|r|r|r} \begin{tabular}{l} Cost of \\ Advertising \end{tabular} & 9 & 2 & 3 & 4 & 2 & 5 & 9 & 10 \\ \hline \begin{tabular}{l} Number of \\ Prescriptions \end{tabular} & 85 & 52 & 55 & 68 & 67 & 86 & 83 & 73 \end{tabular} 0.235 0.246 $-0.071$ 0.708
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Solution

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Solution Steps

Step 1: Calculate Covariance

The covariance between the cost of advertising \( X \) and the number of prescriptions written \( Y \) is calculated as follows:

\[ \text{Cov}(X,Y) = 31.071 \]

Step 2: Calculate Standard Deviations

Next, we calculate the standard deviations of both variables:

\[ \sigma_X = 3.338 \]

\[ \sigma_Y = 13.152 \]

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 we have:

\[ r = \frac{31.071}{3.338 \times 13.152} = 0.708 \]

Final Answer

The correlation coefficient \( r \) is given by:

\[ \boxed{r = 0.708} \]

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