Discover how to calculate covariance to assess stock relationships and optimize your portfolio, balancing risk and potential ...

A principal component analysis of a correlation matrix treats all variables as equally important. A principal component analysis of a covariance matrix gives more weight to variables with larger ...

When manufacturing products, a business should budget the time and necessary manpower to produce the products. This allows the company to estimate the total costs associated with the production of the ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...

Variable names are alphanumeric but must start with a letter. The length of a variable name is limited to thirty-two characters for non-SAS data set variables Model variables are declared by VAR, ...