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The test statistic is t= (Round to two decimal places as needed.) The P-value is. (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is V the significance level, there V sufficient evidence to support the claim that there is a linear correlation between the ages of Best Actresses and Best Actors. Should we expect that there would be a correlation? O A. Yes, because Best Actors and Best Actresses are typically the same age. O B. Yes, because Best Actors and Best Actresses typically appear in the same movies, so we should expect the ages to be correlated. OC. No, because Best Actors and Best Actresses typically appear in different movies, so we should not expect the ages to be correlated. O D. No, because Best Actors and Best Actresses are not typically the same age.

The test statistic is t= (Round to two decimal places as needed.) The P-value is. (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is V the significance level, there V sufficient evidence to support the claim that there is a linear correlation between the ages of Best Actresses and Best Actors. Should we expect that there would be a correlation? O A. Yes, because Best Actors and Best Actresses are typically the same age. O B. Yes, because Best Actors and Best Actresses typically appear in the same movies, so we should expect the ages to be correlated. OC. No, because Best Actors and Best Actresses typically appear in different movies, so we should not expect the ages to be correlated. O D. No, because Best Actors and Best Actresses are not typically the same age.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The test statistic is t= (Round to two decimal places as needed.) The P-value is. (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is the significance level, there sufficient evidence to support the claim that there is a linear correlation between the ages of Best Actresses and Best Actors. Should we expect that there would be a correlation? A. Yes, because Best Actors and Best Actresses are typically the same age. B. Yes, because Best Actors and Best Actresses typically appear in the same movies, so we should expect the ages to be correlated. C. No, because Best Actors and Best Actresses typically appear in different movies, so we should not expect the ages to be correlated. O D. No, because Best Actors and Best Actresses are not typically the same age.
Transcribed Image Text:The test statistic is t= (Round to two decimal places as needed.) The P-value is. (Round to three decimal places as needed.) Because the P-value of the linear correlation coefficient is the significance level, there sufficient evidence to support the claim that there is a linear correlation between the ages of Best Actresses and Best Actors. Should we expect that there would be a correlation? A. Yes, because Best Actors and Best Actresses are typically the same age. B. Yes, because Best Actors and Best Actresses typically appear in the same movies, so we should expect the ages to be correlated. C. No, because Best Actors and Best Actresses typically appear in different movies, so we should not expect the ages to be correlated. O D. No, because Best Actors and Best Actresses are not typically the same age.
The accompanying table lists the ages of acting award winners matched by the years in which the awards were won. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of a = 0.05. Click the icon to view the ages of the award winners. Construct a scatterplot. Choose the correct graph below. OA. В. С. O D. 70- 70- 70- 70- 20+ 20 20+ 20 Best Actress (years) 20- 20 Best Actress (years) 20+ 20 Best Actress (years) 70 70 70 70 Best Actress (years) The linear correlation coefficient is r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P (Type integers or decimals. Do not round.) Best Actor (years) Best Actor (years) Best Actor (years) Best Actor (years)
Transcribed Image Text:The accompanying table lists the ages of acting award winners matched by the years in which the awards were won. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of a = 0.05. Click the icon to view the ages of the award winners. Construct a scatterplot. Choose the correct graph below. OA. В. С. O D. 70- 70- 70- 70- 20+ 20 20+ 20 Best Actress (years) 20- 20 Best Actress (years) 20+ 20 Best Actress (years) 70 70 70 70 Best Actress (years) The linear correlation coefficient is r= (Round to three decimal places as needed.) Determine the null and alternative hypotheses. Ho: P (Type integers or decimals. Do not round.) Best Actor (years) Best Actor (years) Best Actor (years) Best Actor (years)
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