8.2 The dataset Harmon23.cor in the datasets package is a correlation matrix of eight physical measurements made on 305 girls between the ages of 7 and 17. (a) Perform a factor analysis of this data using the command factanal(factors = m, covmat = Harman23.cor) where m is the number of factors. (b) Vary the number of factors to find an adequate fit of the model and interpret the resulting factor loadings. (c) Does the principal component analysis produce different con- clusions when the correlation matrix (cor = TRUE) option is used? Which analysis do you prefer?
8.2 The dataset Harmon23.cor in the datasets package is a correlation matrix of eight physical measurements made on 305 girls between the ages of 7 and 17. (a) Perform a factor analysis of this data using the command factanal(factors = m, covmat = Harman23.cor) where m is the number of factors. (b) Vary the number of factors to find an adequate fit of the model and interpret the resulting factor loadings. (c) Does the principal component analysis produce different con- clusions when the correlation matrix (cor = TRUE) option is used? Which analysis do you prefer?
Computer Networking: A Top-Down Approach (7th Edition)
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![8.2 The dataset Harmon23.cor in the datasets package is a correlation
matrix of eight physical measurements made on 305 girls between the
ages of 7 and 17.
(a) Perform a factor analysis of this data using the command
factanal(factors = m, covmat =
Harman23.cor)
where m is the number of factors.
(b) Vary the number of factors to find an adequate fit of the model
and interpret the resulting factor loadings.
(c) Does the principal component analysis produce different con-
clusions when the correlation matrix (cor = TRUE) option is used?
Which analysis do you prefer?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa56252e4-9a8e-4b2d-8d45-5507f3bd1043%2F477b39c9-7208-4f74-ac5d-146f6200b39d%2Fuh3j8y_processed.png&w=3840&q=75)
Transcribed Image Text:8.2 The dataset Harmon23.cor in the datasets package is a correlation
matrix of eight physical measurements made on 305 girls between the
ages of 7 and 17.
(a) Perform a factor analysis of this data using the command
factanal(factors = m, covmat =
Harman23.cor)
where m is the number of factors.
(b) Vary the number of factors to find an adequate fit of the model
and interpret the resulting factor loadings.
(c) Does the principal component analysis produce different con-
clusions when the correlation matrix (cor = TRUE) option is used?
Which analysis do you prefer?
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