-Score: 0 of 1 pt 1 of 12 (8 complete) v Hw Score: 53.33%, 6.4 of 12 pts 10.3.25

Question

-Score: 0 of 1 pt 1 of 12 (8 complete) v Hw Score: 53.33%, 6.4 of 12 pts 10.3.25 IEQuestion Help 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 $11 million. Is the result close to the actual number of viewers, 2.8 million? Use a significance level of 0.05. Salary (millions of $) 111 7 5 6_13 7 4 109 Viewers (millions) 9.4 6.8 5.7 4.31.16.2 1.56.9 a Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? j= 4.322 + 0.045 x (Round to three decimal places as needed.) What is the best predicted number of viewers for a television star with a salary of $11 million? j-million viewers (Round to one decimal place as needed.)

Explanation / Answer

The regression equation is

y=a+bx

from Excel

The fitted model is

y=4.322 + 0.045(salary)

b) when salry is 11

Then y= 4.322 + 0.045*(11) =4.817

SUMMARY OUTPUT Regression Statistics Multiple R 0.585324 R Square 0.342604 Adjusted R Square 0.233038 Standard Error 2.469031 Observations 8 ANOVA df SS MS F Significance F Regression 1 19.06208 19.06208 3.126924 0.127421 Residual 6 36.57667 6.096112 Total 7 55.63875 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 4.322107 1.014885 4.258717 0.005329 1.838773 6.805441 1.838773 6.805441 salary 0.044927 0.025407 1.768311 0.127421 -0.01724 0.107096 -0.01724 0.107096

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