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between the revenue from rental of comedies on streaming services and A movie studio wishes to determine the relationship such movies. The studio has the following bivariate data from a sample the revenue generated from the theatrical release of s. These data give the revenue \( x \) from theatrical release (in millions of thals (in millions of dollars) for each of the fifteen movies. Also shown for the data. The equation for this line is \( \hat{y}=3.20+0.16 x \). are the scatter plot and the least-squares regression line for
\begin{tabular}{|l|l|}
\hline Theater revenue, \( x \) (in millions of dollars) & Rental revenue, \( y \) (in millions of dollars) \\
\hline 60.8 & 10.5 \\
\hline 14.8 & 2.4 \\
\hline 43.9 & 7.8 \\
\hline 36.6 & 12.0 \\
\hline 49.1 & 16.1 \\
\hline 28.1 & 2.4 \\
\hline 21.7 & 5.3 \\
\hline 30.7 & 5.7 \\
\hline 25.2 & 6.8 \\
\hline 60.6 & 15.5 \\
\hline 66.2 & 9.9 \\
\hline 27.0 & 11.6 \\
\hline 13.8 & 10.0 \\
\hline 7.0 & 2.4 \\
\hline 25.8 & 8.9 \\
\hline
\end{tabular}
Theater revenue
(in millions of dollars)
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Based on the studio's data and the regression line, complete the following.
(a) For these data, values for theater revenue that are greater than the mean of the values for theater revenue tend to be paired with values for rental revenue that are (Choose one) 0 the mean of the values for rental revenue.
(b) According to the regression equation, for an increase of one million dollars in theater revenue, there is a corresponding increase of how many million dollars in rental revenue?
\( \square \)