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=3.6667, sx=2.3381, y=4.38334, sy=1.58921, and r= - 0.9330, determine the least-squares regression line.
(c) Graph the least-squares regression line on the scatter diagram drawn in part (a).
x |
11 |
11 |
33 |
55 |
66 |
66 |
|
---|---|---|---|---|---|---|---|
y |
5.25.2 |
6.56.5 |
5.65.6 |
3.43.4 |
2.72.7 |
2.92.9 |
There appears to be a ___________relationship.
b). y^=____x+(__)
c. choose graph
a.
As there is decreasing trend there is negative correlation between x and y
b.
Sum of X = 22
Sum of Y = 26.3
Mean X = 3.6667
Mean Y = 4.3833
Sum of squares (SSX) = 27.3333
Sum of products (SP) = -17.3333
Regression Equation = ŷ = bX + a
b = SP/SSX = -17.33/27.33 =
-0.6342
a = MY - bMX = 4.38 -
(-0.63*3.67) = 6.7085
ŷ = -0.6342X + 6.7085
c.
So is the answer
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