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Finite Math Examples
xy0212324252xy0212324252
Step 1
The linear correlation coefficient measures the relationship between the paired values in a sample.
r=n(∑xy)-∑x∑y√n(∑x2)-(∑x)2⋅√n(∑y2)-(∑y)2r=n(∑xy)−∑x∑y√n(∑x2)−(∑x)2⋅√n(∑y2)−(∑y)2
Step 2
Sum up the xx values.
∑x=0+1+3+4+5∑x=0+1+3+4+5
Step 3
Simplify the expression.
∑x=13∑x=13
Step 4
Sum up the yy values.
∑y=2+2+2+2+2∑y=2+2+2+2+2
Step 5
Simplify the expression.
∑y=10∑y=10
Step 6
Sum up the values of x⋅yx⋅y.
∑xy=0⋅2+1⋅2+3⋅2+4⋅2+5⋅2∑xy=0⋅2+1⋅2+3⋅2+4⋅2+5⋅2
Step 7
Simplify the expression.
∑xy=26∑xy=26
Step 8
Sum up the values of x2x2.
∑x2=(0)2+(1)2+(3)2+(4)2+(5)2∑x2=(0)2+(1)2+(3)2+(4)2+(5)2
Step 9
Simplify the expression.
∑x2=51∑x2=51
Step 10
Sum up the values of y2y2.
∑y2=(2)2+(2)2+(2)2+(2)2+(2)2∑y2=(2)2+(2)2+(2)2+(2)2+(2)2
Step 11
Simplify the expression.
∑y2=20∑y2=20
Step 12
Fill in the computed values.
r=5(26)-13⋅10√5(51)-(13)2⋅√5(20)-(10)2r=5(26)−13⋅10√5(51)−(13)2⋅√5(20)−(10)2
Step 13
Simplify the expression.
r=NaNr=NaN
Step 14
Find the critical value for a confidence level of 00 and 55 degrees of freedom.
t=3.18244628t=3.18244628