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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