Regression Analysis

Running head: REGRESSION ANALYSIS 1
Regression Analysis
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REGRESSION ANALYSIS 2
Find the correlation for Weight with the following variables
Correlation with Weight
Height 0.7883
Leg Length 0.2718
Arm Length 0.8573
Arm Circumference 2.9706
Waist -0.9475
Based on the correlation coefficient, which of the variables would not be good predictors
of weight
Based on the correlation coefficients, leg length and Arm Circumference would not be a
good predictor of weight since they have absolute correlation coefficients of 0.2718 and
2.9706 as compared to other variables which are relatively approximates i.e. between (-1 and
+1)
Which of the correlation coefficients might be misleading? Justify your answer – attach all
relevant materials that support your position.
The correlations that might be misleading in this case are those of ‘Waist’ and ‘Leg Length’
which are -0.9475 and 0.2706 respectively.
These values suggest a stronger correlation between weight and the variables which are not
right according to scholars and other related researches. According to Wiley (2016) and other
related researches, the waist and leg length are founds the basis of body mass in human
beings and thus an individual with longer legs and broader weights will always have much
weight.