Automated analysis
Qestion 1- from table below:
x y x2 y2 xy
5 25 25 625 125
3 20 9 400 60
4 21 16 441 84
10 35 100 1225 350
15 38 225 1444 570
∑X= ∑y= ∑X2= ∑y2= ∑XY=Correlation Coefficient is:
A-0.79
B-0.97
C-0.03
D-1
Coefficient of Determination is:
A-0.97
B-0.0
C-0.94
D-0.06
The Coefficient of Determination quantity means:
A-94% from data can be explained from the linear equation between x and y
B-94% from data can not be explained from the linear equation between x and y
C97% from data can be explained from the linear equation between x and y
D-6% from data can be explained from the linear equation between x and y
The relation between x and whey is:
A-perfect direct
B-strong indirect
C-intermediate direct
D-strong direct
The Coefficient of Determination quantity from:
A(-1 to 1)
B(-1 to 0)
C(0 to -1)
D(0 to 1)
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linear regression model in explaining y variation. If the
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proportion of observed y variation that cannot be explained by the
simple linear regression model. The higher the value of the
coefficient of determination, the more successful is the simple
linear regression model in explaining y variation. If the
coefficient of determination is small, an analyst will usually want
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