I need help at the bottom of the page - Thank you!
(a) Draw a scatter diagram. Comment on the type of relation that appears to exist between x and y.
(b) Given that x = 3.8333, ?? = 2.4014, Sy = 1.8381, and r = −0.9545, determine the least-squares regression line.
(c) Graph the least-squares regression line on the scatter diagram drawn in part (a)
x y
0 5.9
2 5.7
4 4.3
5 2.8
6 1.7
6 2
(a) Choose the correct graph below. A. 0 6 0 6 x y A scatter diagram has a horizontal x-axis labeled from 0 to 6 in increments of 1 and a vertical y-axis labeled from 0 to 6 in increments of 1. The following six points are plotted, listed from left to right: (0,6), (2,5.8), (4,4.4), (5,2.8), (6,1.8), (6,2). All vertical coordinates are approximate. Your answer is correct. .
*There appears to be ▼ no, a linear positive, a nonlinear, a linear negative, a constant relationship.
The correlation coefficient between x and y is got as
- 0.9545
The Linear Regression Line is given by:
= 6.534 - 0.731 x
From the scatter diagram shows the points are close to the central line. Also, the central line is such that as x increases, y decreases.
So,
Conclusion is:
There appears to be a linear negative relationship.
I need help at the bottom of the page - Thank you! (a) Draw a scatter...
a) Draw a scatter diagram. Comment on the type of relation that appears to exist between x and y. (b) Given that x overbarxequals=4.00004.0000, s Subscript xsxequals=2.09762.0976, y overbaryequals=3.25003.2500, s Subscript ysyequals=1.76951.7695, and requals=negative 0.9430−0.9430, determine the least-squares regression line. (c) Graph the least-squares regression line on the scatter diagram drawn in part (a). x 11 22 44 55 66 66 y 4.94.9 5.45.4 4.14.1 2.22.2 1.41.4 1.51.5 (a) Choose the correct graph below. A. 0606xy Edit Coordinates(0,0) A scatter...
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A data set is given below. (a) Draw a scatter diagram. Comment on the type of relation that appears to exist between x and y (b) Given that x = 3.5000, -2.3452, y = 4.2000, - 1.6625, and r = -0.9387, determine the least squares regression line. (c) Graph the least squares regression line on the scatter diagram drawn in part(a) 0 2 3 4 6 6 5.8 5.8 5.3 3.7 22 2.4 (a) Choose the correct graph below. There...
A data set is given below. (a) Draw a scatter diagram. Comment on the type of relation that appears to exist between x and y. (b) Given that x̅=3.6667, sx =2.0656, y̅ = 4.0000, sy = 1.5258, and r = -0.9392, determine the least-squares regression line. (c) Graph the least-squares regression line on the scatter diagram drawn in part (a).x123466y5.15.75.13.62.12.4
Given that x = 3.5000, sx = 2.5884, y = 4.1000, sy = 1.9657, and r = -0.9552, determine the least-squares regression line. y = ____ x + (_____) A data set is given below. (a) Draw a scatter diagram. Comment on the type of relation that appears to exist be (b) Given that x = 3.5000, Sy = 2.5884, y = 4.1000, sy = 1.9657, and r = -0.9552, det (c) Graph the least squares regression line on the...
0 Adataset is given below (a) Draw a scatter diagram. Comment on the type of relation that appears to be x andy (b) Given that x = 3.5000, =25884.- 3.983322140, andra - 05665 determine the fastes regression line (c) Graph the least squares regression in on the scatter diagram drawn in part(a) X 0 1 6 6 (a) Choose the correct graph below ОА. Ос. AY OD @ 22 Click to select your answer(s) 0 A data set is given...
A data set is given below. (a) Draw a scatter diagram. Comment on the type of relation that appears to exist between x and y (b) Given that x = 3.5000, 5x = 2.2583, y = 3.8667, 5y = 1.8822, and r= -0.9552, determine the least-squares regression line (c) Graph the least-squares regression line on the scatter diagram drawn in part (a). 1 1 3 4 6 6 5.0 6.4 4.9 3.3 1.6 2.0 у (a) Choose the correct graph...
I need help with the final part of this problem - (c) Interpret the coefficient of determination and comment on the adequacy of the linear model - all 4 parts. Thank you so much for all the help! The accompanying data represent the weights of various domestic cars and their gas mileages in the city. The linear correlation coefficient between the weight of a car and its miles per gallon in the city is r = −0.963. The least-squares regression...