The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers...


The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $4 million. Is<br>the result close to the actual number of viewers, 4.3 million? Use a significance level of 0.05.<br>Salary (millions of $)<br>Viewers (millions)<br>107<br>14<br>10<br>12<br>1<br>11<br>14<br>8.5<br>10.8<br>6.2<br>3.8<br>4.9<br>3.3<br>7.3<br>2.6<br>Click the icon to view the critical values of the Pearson correlation coefficient r.<br>What is the regression equation?<br>A<br>x (Round to three decimal places as needed.)<br>V =<br>+<br>

Extracted text: The data show the number of viewers for television stars with certain salaries. Find the regression equation, letting salary be the independent (x) variable. Find the best predicted number of viewers for a television star with a salary of $4 million. Is the result close to the actual number of viewers, 4.3 million? Use a significance level of 0.05. Salary (millions of $) Viewers (millions) 107 14 10 12 1 11 14 8.5 10.8 6.2 3.8 4.9 3.3 7.3 2.6 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? A x (Round to three decimal places as needed.) V = +

Jun 08, 2022
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