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.X62001425162818108Y15311016282040251215 Please asnwer questions on picture thank you x= 14.5, y = 12.1, s =8.71, s =9.58, and r= 0.919XyWe can conclude there is linear correlation between the number of TV ads and the number of cars sold because the sample size nisand its corresponding critical value for the correlation coefficient isIs thecorrelation 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 isThe 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 theThe percentage of variation on the number of cars sold that can be explained by the number of TV ads is%. Number of Cars Sold50408 30201000Weekly Cars Sold versusNumber of TV Ads51015Number of TV ads202530

Given number of pairs n = 10 x¯ = 14.5, y¯ = 12.1, sd sx = 8.71, sd sy = 9.58 and r = 0.919

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 %.

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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Question

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
%.

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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