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x= 14.5, y = 12.1, s = 8.71, s =9.58, and r= 0.919 x y We can conclude there is linear correlation between the number of TV ads and the number of cars sold because the sample size n is and its corresponding critical value for the correlation coefficient is . Is the correlation positive or negative? Find the equation of the least-squares regression line: The slope is: Round to 2 decimal places. The y-intercept is The equation of the line is: Using the equation of the line we can predict that if the number of TV ads is 12 the number of cars sold will be Round your final answer to the nearest whole number. Round to 2 decimal places. The interpretation of the slope in the context of the problem is: The interpretation of the y-intercept in the context of the problem is: y-intercept answer "Not appropriate". . If it is not appropriate to interpret the The percentage of variation on the number of cars sold that can be explained by the number of TV ads is %.

x= 14.5, y = 12.1, s = 8.71, s =9.58, and r= 0.919 x y We can conclude there is linear correlation between the number of TV ads and the number of cars sold because the sample size n is and its corresponding critical value for the correlation coefficient is . Is the correlation positive or negative? Find the equation of the least-squares regression line: The slope is: Round to 2 decimal places. The y-intercept is The equation of the line is: Using the equation of the line we can predict that if the number of TV ads is 12 the number of cars sold will be Round your final answer to the nearest whole number. Round to 2 decimal places. The interpretation of the slope in the context of the problem is: The interpretation of the y-intercept in the context of the problem is: y-intercept answer "Not appropriate". . If it is not appropriate to interpret the The percentage of variation on the number of cars sold that can be explained by the number of TV ads is %.

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter1: Fundamental Concepts Of Algebra
Section1.4: Fractional Expressions
Problem 50E
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During 10 weeks, a dealership recorded the number of TV ads (x variable) and the number of cars sold (y variable).  The results are given in the following table.

X 6 20 0 14 25 16 28 18 10 8
Y 15 31 10 16 28 20 40 25 12 15

 

 

Please asnwer questions on picture thank you 

x= 14.5, y = 12.1, s =8.71, s =9.58, and r= 0.919 X y We can conclude there is linear correlation between the number of TV ads and the number of cars sold because the sample size n is and its corresponding critical value for the correlation coefficient is Is the correlation positive or negative? Find the equation of the least-squares regression line: The slope is: Round to 2 decimal places. Round to 2 decimal places. The y-intercept is The equation of the line is: Using the equation of the line we can predict that if the number of TV ads is 12 the number of cars sold will be . Round your final answer to the nearest whole number. The interpretation of the slope in the context of the problem is: The interpretation of the y-intercept in the context of the problem is: y-intercept answer "Not appropriate". If it is not appropriate to interpret the The percentage of variation on the number of cars sold that can be explained by the number of TV ads is %.
Transcribed Image Text:x= 14.5, y = 12.1, s =8.71, s =9.58, and r= 0.919 X y We can conclude there is linear correlation between the number of TV ads and the number of cars sold because the sample size n is and its corresponding critical value for the correlation coefficient is Is the correlation positive or negative? Find the equation of the least-squares regression line: The slope is: Round to 2 decimal places. Round to 2 decimal places. The y-intercept is The equation of the line is: Using the equation of the line we can predict that if the number of TV ads is 12 the number of cars sold will be . Round your final answer to the nearest whole number. The interpretation of the slope in the context of the problem is: The interpretation of the y-intercept in the context of the problem is: y-intercept answer "Not appropriate". If it is not appropriate to interpret the The percentage of variation on the number of cars sold that can be explained by the number of TV ads is %.
Number of Cars Sold 50 40 8 30 20 10 0 0 Weekly Cars Sold versus Number of TV Ads 5 10 15 Number of TV ads 20 25 30
Transcribed Image Text:Number of Cars Sold 50 40 8 30 20 10 0 0 Weekly Cars Sold versus Number of TV Ads 5 10 15 Number of TV ads 20 25 30
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