1.
Regression equation of y on x is given by
For
, predicted number of sit ups is given by
2.
Suppose, random variables X and Y denote scores in first and second quiz respectively.
Regression equation of y on x is given by
Here,
Number of pairs of observation
Scatter plot with line that best fits the data is as follows.

For
, predicted score in second quiz is given by
use second picture please A regression analysis was performed to determine if there is a relationship...
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (x) and number of sit ups a person can do (y). The results of the regression were: y=ax+b a=-1.326 b=30.621 r2=0.6561 r=-0.81 Use this to predict the number of sit ups a person who watches 14 hours of TV can do, and please round your answer to a whole number.
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (x) and number of sit ups a person can do (y ). The results of the regression were: y=ax+b a=-1.326 b=30.621 p2=0.6561 r=-0.81 Use this to predict the number of sit ups a person who watches 14 hours of TV can do, and please round your answer to a whole number.
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day ( x ) and number of sit ups a person can do ( y ). The results of the regression were: y=ax+b a=-1.057 b=30.632 r2=0.657721 r=-0.811 Use this to predict the number of sit ups a person who watches 3 hours of TV can do, and please round your answer to a whole number: ________
Due in 21 hours, 40 minutes. Due Thu 07/30/2020 9:59 A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (2) and number of sit ups a person can do (y). The results of the regression were: y-ax+b a-1.215 b=26.883 r2-0.364816 --0.604 Use this to predict the number of sit ups a person who watches 12 hours of TV can do, and please round your answer to a whole number.
The following is data for the first and second Quiz scores for 8 students in a class. First Quiz (Q1) Second Quiz (Q2) 17 15 18 14 19 15 20 19 26 24 27 23 29 28 30 27 Plot the points in the grid below, then sketch a line that best fits the data. 32+ Q2 28 24 20 16 12 8 Q1 8 12 16 20 24 28 33 Clear All Draw: : Use the line above to...
The following is data for the first and second Quiz scores for 8 students in a class. First Quiz (Q1) 17 18 19 20 26 Second Quiz (Q2) 15 14 15 19 24 23 28 27 27 29 30 Plot the points in the grid below, then sketch a line that best fits the data. 32 Q2 28 24 20 16 12 8 4 Q1 28 32 8 12 16 20 24 Clear All Draw: Use the line above to...
A regression was run to determine if there is a relationship between hours of TV watched per day () and number of sit ups a person can do (p). A regression for p as a function of t was run and the results of the regression were: yemxtb m-8.76 b-25.284 Use this to predict the number of situps a person who watches 8.5 hours of TV can do. Round your answer to 3 decimal places as needed
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and the number of sit-ups a person can do (y). The results were: y = a+bx b = -0.79 a = 23.59 r2 = 0.6551 If a person watches 16 hours of television a day, predict how many sit-ups he can do. 10.95 Correct What is the value of the correlation coefficient? Round to three decimal places. .809 - I need...
The following is data for the first and second Quiz scores for 8 students in a class. First Quiz (Q1) Second Quiz (Q2) | 12 | 11 17 13 1917 2019 22 18 26 25 27 24 Plot the points in the grid below, then sketch a line that best fits the data. 01 4 8 12 16 20 24 28 32 Clear All Draw: / Avo . Use the line above to predict the value of the second quiz...
The following is data for the first and second Quiz scores for 8 students in a class. First Quiz (Q1) Second Quiz (Q2) 12 14 11 17 17 18 21 21 22 23 22 25 21 24 26 Plot the boints in the grid below, then sketch a line that best fits the data. 152+ Q2 28 24 20- 16- 12 84 4- QI 24 28 12 16 20 Clear All Draw: Use the line above to predict the value...