Question
Let's say that we wanted to be able to predict the Weight (kg) for a person using the following 3 variables: HT (height) WAIST (waist
Let's say that we wanted to be able to predict the Weight (kg) for a person using the following 3 variables:
HT (height)
WAIST (waist circumference)
ARMC (arm circumference)
Using this sample data, perform a multiple-regression using HT, WAIST, and ARMC and WT.Select WT as your Dependent variable.
What is the equation of the line-of-best fit?The form of the equation is Y = bo + b1X1 + b3X3 + b4X4 (fill in values for bo, b1, b3, and b4).
[Round coefficients to 2 decimal places.]
Number of Columns Used:4
Dependent Column:11
Coeff, b0:-124.23779
Coeff, b2:0.51364
Coeff, b3:0.66378
Coeff, b4:1.62508
Total Variation:115746.71797
Explained Variation:108955.10922
Unexplained Variation:6791.60875
Standard Error:4.79005
Coeff of Det, R^2:0.94132
Adjusted R^2:0.94073
P-Value:0
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