MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Problem 6

Problem 6 Interpreting Multiple Linear
Regression Analysis
Using the data from the previous slide:
A. What is the most important independent variable in the determination of
infant birth weight? Hint: examine the values oft
B. Holding all other variables equal, how much more will a male infant
weigh than a female infant?
C. Holding all variables equal, how much more will an infant weigh with a
gestational age at birth two weeks more than another infant?
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Transcribed Image Text:Problem 6 Interpreting Multiple Linear Regression Analysis Using the data from the previous slide: A. What is the most important independent variable in the determination of infant birth weight? Hint: examine the values oft B. Holding all other variables equal, how much more will a male infant weigh than a female infant? C. Holding all variables equal, how much more will an infant weigh with a gestational age at birth two weeks more than another infant?
Problem 6 Interpreting Multiple Linear
Regression Analysis
Outcome infant birth weight, grams
y=46
ndependent
Variable
Imtercept
Male gender
Regression
Coefficient
p-value
-3850.92
-11.56
0.0001
174,79
6.06
0.0001
Gestational age, weeks
Mother's age, years
179.89
22.35
0.0001
.38
0.47
0.6361
Black race
-138.46
0.0535
-1.93
Hispanic race
-13.07
-0.37
0.7103
Other race
-68.67
0.2918
-1.05
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Transcribed Image Text:Problem 6 Interpreting Multiple Linear Regression Analysis Outcome infant birth weight, grams y=46 ndependent Variable Imtercept Male gender Regression Coefficient p-value -3850.92 -11.56 0.0001 174,79 6.06 0.0001 Gestational age, weeks Mother's age, years 179.89 22.35 0.0001 .38 0.47 0.6361 Black race -138.46 0.0535 -1.93 Hispanic race -13.07 -0.37 0.7103 Other race -68.67 0.2918 -1.05
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