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ST512 Assignment 1.
KEY
1. What is the age of the youngest person in this data set?
What is the age of the oldest
person?
Youngest: 18 years
Oldest: 67 years
2.
Use the simple linear regressions of weight vs. age and weight vs. height to complete
the tables below.
Predictor
Estimated slope
t-statistic
p-value
Age
0.288
4.761
<.0001
Height
1.018
23.14
<.0001
Predictor
MSE
R
2
Age
170.8
0.043
Height
86.7
0.515
3.
90% CI for
1
β
: (0.945, 1.090)
4.
Test H
o
:
1
1
β
=
kg/cm vs. H
a
:
1
1
β
≠
kg/cm.
t
= 0.401
p
= 0.69
5.
Does weight appear to be a linear function of height?
Yes, the regression line appears to provide an adequate fit to the scatter plot of the raw
data.
Does the constant variance assumption appear justified?
For the most part, yes – the plot of residuals vs. fitted values doesn’t show any
pronounced trends in variance.
Does the normality assumption appear justified?
No.
Curvature in the Q-Q plot suggests mild asymmetry (right-skew) in the residuals.

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