Question

Researchers looked at other relationships between variables in the body measurements data.

The following table shows results from a multiple linear regression to predict average shoulder girth (in cm) based on weight (in kg), age (in years) and sex (male coded as 1, female as 0). There are 3 questions following this table

Coefficients:

Estimate Std.Error t-value Pr(>|t|)

(Intercept) 76.38994 4.70490 16.236 0.00000

weight 0.43754 0.06790 6.443 0.00000

age -0.07985 0.07042 -1.134 0.262653

sex(male) 8.07123 2.13543 3.780 0.000451

1.Write the equation of the regression line.

2.Interpret the slope/coefficient of weight in this context.

3. Interpret the slope/coefficient of male in this context.

Answer #1

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