I have absolutely no idea where to start with this or even how to do it. The chart is what is throwing me off. I just need to know how to do this problem, how to start it, and how does the chart even relate to the problem? For variance, you need a mean I guess, how is that possible with the chart?
Using the table below, calculate the variance of X, variance of Y, standard deviation of X, standard deviation of Y, the covariance between X and Y, the correlation coefficient between X and Y, and find the regression line assuming X is the independent variable (find the slope and the intercept). Show your work.
X |
Y |
X-Xbar |
Y-Ybar |
(X-Xbar)^2 |
(Y-Ybar)^2 |
(X-Xbar)*(Y-Ybar) |
3 |
1 |
|||||
8 |
5 |
|||||
10 |
13 |
|||||
15 |
18 |
|||||
19 |
23 |
X | y | (x-xbar)^2 | (y-ybar)^2 | (x-xbar)(y-ybar) |
3 8 10 15 19 |
1 5 13 18 23 |
64.000 Sum: 154.000 |
121.000 Sum: 328.000 |
88.000 Sum: 220.000 |
Varx = . = 154/5 = 30.8
Vary = . = 328/5 = 65.6
S.D (x) = √var(x) = 5.55
S.D (y) = √vary = 8.09
Cov(x,y) = 220/5 = 44
Correlation coefficient r = cov(x,y)/(S.Dx)×(S.Dy)
= 44/(5.55×8.09) = 0.98
Regression equation
Y^ = a+bx
b = r×sy/sx
0.98×8.09/5.55 = 1.428
a = ybar - b×xbar = 12-11×1.428 = - 3.708
So y ^ = -3.708+ 1.428x
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