There are 39 observations representing the 39 Peruvians in the dataset and 10 variables. Factor Analysis was performed on the data set, giving the following result for the factor loadings based on the correlation matrix, with PC as factor extraction method unrotated and using 3 factors. Variable Age Years Weight Height Chin Forearm Calf Pulse Systol Diastol Factor Loadings (Unrotated) (peruvian) Extraction: Principal components (Marked loadings are >.500000) Factor 1 Factor 2 Factor -0.349816 0.763287 0.078367 -0.416995 0.764342 0.169844 -0.884494 0.243825 -0.220992 -0.255384 0.188597 -0.680960 -0.707324 -0.104618 0.363285 -0.789642 -0.327357 0.365142 -0.679921 -0.456050 0.221273 -0.465664 0.034710 0.272035 -0.538937 -0.562990 -0.522348 -0.274233 -0.479173 -0.166765 What is the specific variance of the variable Years? (final answer to 3 decimal places)

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
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There are 39 observations representing the 39 Peruvians in the dataset and 10
variables. Factor Analysis was performed on the data set, giving the following
result for the factor loadings based on the correlation matrix, with PC as factor
extraction method unrotated and using 3 factors.
Variable
Age
Years
Weight
Height
Chin
Forearm
Calf
Pulse
Systol
Diastol
Factor Loadings (Unrotated) (peruvian)
Extraction: Principal components
(Marked loadings are >.500000)
Factor
2
Factor
1
-0.349816
0.763287
-0.416995 0.764342
-0.884494
0.243825
-0.255384 0.188597
-0.707324 -0.104618
-0.789642 -0.327357
-0.679921 -0.456050
-0.465664 0.034710
-0.522348 -0.274233
-0.479173 -0.166765
Factor
3
0.078367
0.169844
-0.220992
-0.680960
0.363285
0.365142
0.221273
0.272035
-0.538937
-0.562990
What is the specific variance of the variable Years? (final answer to 3 decimal
places)
Transcribed Image Text:There are 39 observations representing the 39 Peruvians in the dataset and 10 variables. Factor Analysis was performed on the data set, giving the following result for the factor loadings based on the correlation matrix, with PC as factor extraction method unrotated and using 3 factors. Variable Age Years Weight Height Chin Forearm Calf Pulse Systol Diastol Factor Loadings (Unrotated) (peruvian) Extraction: Principal components (Marked loadings are >.500000) Factor 2 Factor 1 -0.349816 0.763287 -0.416995 0.764342 -0.884494 0.243825 -0.255384 0.188597 -0.707324 -0.104618 -0.789642 -0.327357 -0.679921 -0.456050 -0.465664 0.034710 -0.522348 -0.274233 -0.479173 -0.166765 Factor 3 0.078367 0.169844 -0.220992 -0.680960 0.363285 0.365142 0.221273 0.272035 -0.538937 -0.562990 What is the specific variance of the variable Years? (final answer to 3 decimal places)
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