Question\begin{tabular}{|c|c|}
\hline \begin{tabular}{c}
Campaign cost, \\
\begin{tabular}{c}
\\
(in millions of \\
dollars)
\end{tabular}
\end{tabular} \begin{tabular}{c}
Increase in sales, \\
\\
(percent)
\end{tabular} \\
\hline 3.93 & 6.94 \\
\hline 2.08 & 6.78 \\
\hline 3.08 & 6.94 \\
\hline 2.97 & 6.50 \\
\hline 3.36 & 6.55 \\
\hline 1.54 & 6.56 \\
\hline 3.56 & 6.91 \\
\hline 1.35 & 6.41 \\
\hline 1.75 & 6.34 \\
\hline 2.24 & 6.59 \\
\hline 3.80 & 6.78 \\
\hline 2.14 & 6.46 \\
\hline
\end{tabular}
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Figure 1
The value of the sample correlation coefficient for these data is approximately 0.703 .
Answer the following. Carry your intermediate computations to at least four decimal places, and ro
\begin{tabular}{|l|l|}
\hline \begin{tabular}{l}
What is the value of the slope of the least-squares regression \\
line for these data? Round your answer to at least two decimal \\
places.
\end{tabular} \\
\hline \begin{tabular}{l}
What is the value of the -intercept of the least-squares \\
regression line for these data? Round your answer to at least \\
two decimal places.
\end{tabular} & \\
\hline
\end{tabular}
Studdy Solution
To find the y-intercept of the least-squares regression line, use the formula:
Substitute the values of , , and to find .
The slope and y-intercept of the least-squares regression line are the solutions to the problem.
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