Questions: The following table shows the number of newspaper subscriptions in Middletown, USA where t represents the number of years since 2002 (t=0 in 2002) and S represents the total subscriptions each year-measured in thousands. t 0 2 4 6 8 S 411 392 203 138 31 Use your graphing calculator to determine the regression equation in the form of S=at+b. What is the slope of the regression equation?

The following table shows the number of newspaper subscriptions in Middletown, USA where t represents the number of years since 2002 (t=0 in 2002) and S represents the total subscriptions each year-measured in thousands.

 t  0  2  4  6  8 
 S  411  392  203  138  31 

Use your graphing calculator to determine the regression equation in the form of S=at+b. What is the slope of the regression equation?
Transcript text: The following table shows the number of newspaper subscriptions in Middletown, USA where trepresents the number of years since 2002 ( $t=0$ in 2002 ) andS represents the total subscriptions each year-measured in thousands. \begin{tabular}{|l|c|c|c|c|c|} \hline$t$ & 0 & 2 & 4 & 6 & 8 \\ \hline$S$ & 411 & 392 & 203 & 138 & 31 \\ \hline \end{tabular} Use your graphing calculator to determine the regression equation in the form of $S=a t+b$. What is the slope of the regression equation?
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Solution

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Solution Steps

Step 1: Calculate the Means

The means of the independent variable \( t \) and the dependent variable \( S \) are calculated as follows:

\[ \bar{x} = \frac{1}{n} \sum_{i=1}^{n} x_i = 4.0 \]

\[ \bar{y} = \frac{1}{n} \sum_{i=1}^{n} y_i = 235.0 \]

Step 2: Calculate the Correlation Coefficient

The correlation coefficient \( r \) is found to be:

\[ r = -0.9772 \]

Step 3: Calculate the Slope (β)

The numerator for the slope \( \beta \) is calculated as:

\[ \sum_{i=1}^{n} x_i y_i - n \bar{x} \bar{y} = 2672 - 5 \cdot 4.0 \cdot 235.0 = -2028.0 \]

The denominator for the slope \( \beta \) is:

\[ \sum_{i=1}^{n} x_i^2 - n \bar{x}^2 = 120 - 5 \cdot 4.0^2 = 40.0 \]

Thus, the slope \( \beta \) is:

\[ \beta = \frac{-2028.0}{40.0} = -50.7 \]

Step 4: Calculate the Intercept (α)

The intercept \( \alpha \) is calculated using the formula:

\[ \alpha = \bar{y} - \beta \bar{x} = 235.0 - (-50.7) \cdot 4.0 = 437.8 \]

Step 5: Write the Regression Equation

The line of best fit can be expressed as:

\[ S = 437.8 - 50.7t \]

Final Answer

The slope of the regression equation is: \\(\boxed{-50.7}\\)

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