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Chapter 5 · Data Analysis: A Concise Overview of Statistical Techniques · Slide 212/274

Linear Correlation Coefficient

Worked Example

5.2.3 · Relationship between Two VariablesWorked Example

Linear Correlation Coefficient


Strength of the Relationship between Variables
r-valueInterpretation
0 to 0.3Very weak
0.3 to 0.5Weak
0.5 to 0.7Moderate
0.7 to 0.9High
0.9 to 1Very high
r = Sum (x_i − x̄)(y_i − ȳ) divided by Sqrt(Sum (x_i − x̄)²) times Sqrt(Sum (y_i − ȳ)²)
xy(xᵢ−x̄)(yᵢ−ȳ)(xᵢ−x̄)(yᵢ−ȳ)(xᵢ−x̄)²(yᵢ−ȳ)²
869812.513.5168.75156.25182.25
6270−11.5−14.5166.75132.25210.25
5256−21.5−28.5612.75462.25812.25
9011016.525.5420.75272.25650.25
6676−7.5−8.563.7556.2572.25
80966.511.574.7542.25132.25
78864.51.56.7520.252.25
74840.5−0.5−0.250.250.25
Mean73.584.5
Sum151411422062
r = 1514 divided by (Sqrt 1142 times Sqrt 2062) ≈ 0.987
yx
QUESTIONSTAR · Dr. Paul Marx212 / 274
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