. Suppose in a health screening, seven people take measurement on Gender, Height, Weight and Age. One wants to investigate the impact of eight on weight and get the following SAS output: Variable Intercept height DF 1 1 Parameter Estimates Parameter Estimate -592.64458 11.19127 Standard Error 81.54217 1.21780 t Value Pr > |t| -7.27 9.19 0.0008 0.0003
. Suppose in a health screening, seven people take measurement on Gender, Height, Weight and Age. One wants to investigate the impact of eight on weight and get the following SAS output: Variable Intercept height DF 1 1 Parameter Estimates Parameter Estimate -592.64458 11.19127 Standard Error 81.54217 1.21780 t Value Pr > |t| -7.27 9.19 0.0008 0.0003
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:2. Suppose in a health screening, seven people take measurement on
Gender, Height, Weight and Age. One wants to investigate the impact of
height on weight and get the following SAS output:
Variable
Intercept
height
Source
DF
Model
Error
Corrected Total
1
1
Parameter
Estimate
-592.64458
11.19127
Parameter Estimates
DF
The REG Procedure
Model: MODEL 1
Dependent Variable: weight
1
5
6
Number of Observations Read
Number of Observations Used
Root MSE
Dependent Mean
Coeff Var
Standard
Error
Sum of
Squares
81.54217
1.21780
Analysis of Variance
11880
703.38705
12584
11.86075
155.57143
7.62399
t Value
Mean
Square
11880
140.67741
R-Square
Adj R-Sq
-7.27
9.19
7
7
F Value
84.45
0.9441
0.9329
Pr > |t|
0.0008
0.0003
Pr > F
0.0003

Transcribed Image Text:Answer the following questions based on the above SAS output.
(a) Write the theoretical model.
(b) Write out the estimated regression line.
(c) Construct a 95% confidence interval for the slope.
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