Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed lemon/crash data, where lemon imports are in metric tons and the fatality rates are per 100,000...


Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed lemon/crash data, where lemon imports are in metric tons and the<br>fatality rates are per 100,000 people, find the best predicted crash fatality rate for a year in which there are 525 metric tons of lemon imports. Is the prediction<br>worthwhile?<br>Lemon Imports<br>Crash Fatality Rate<br>235 264<br>540 D<br>360<br>15.5<br>485<br>16 15.7<br>15.4<br>15<br>Find the equation of the regression line.<br>(Round the constant three decimal places as needed. Round the coefficient to six decimal places as needed.)<br>

Extracted text: Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed lemon/crash data, where lemon imports are in metric tons and the fatality rates are per 100,000 people, find the best predicted crash fatality rate for a year in which there are 525 metric tons of lemon imports. Is the prediction worthwhile? Lemon Imports Crash Fatality Rate 235 264 540 D 360 15.5 485 16 15.7 15.4 15 Find the equation of the regression line. (Round the constant three decimal places as needed. Round the coefficient to six decimal places as needed.)
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<br>predicted number of viewers for a television star with a salary of $13 million. Is the result close to the actual number of viewers, 2.0 million? Use a significance level of<br>0.05.<br>7.<br>Salary (millions of $)<br>Viewers (millions)<br>105<br>3<br>9.<br>14<br>3.1<br>5.8<br>4.4<br>4.2<br>4.4<br>2.5<br>4.7<br>9.3<br>Click the icon to view the critical values of the Pearson correlation coefficient r.<br>What is the regression equation?<br>y +x (Round to three decimal places as needed.)<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 $13 million. Is the result close to the actual number of viewers, 2.0 million? Use a significance level of 0.05. 7. Salary (millions of $) Viewers (millions) 105 3 9. 14 3.1 5.8 4.4 4.2 4.4 2.5 4.7 9.3 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y +x (Round to three decimal places as needed.)

Jun 01, 2022
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