Objectives

Upon completing this lesson, you should be able to do the following:

• use the CORR procedure to tell SAS to calculate Pearson correlation coefficients among a set of numeric variables
• use the CORR procedure's SPEARMAN, KENDALL, and HOEFFDING options to tell SAS to calculate alternative coefficients
• read typical correlation procedure output in order to be able to extract the calculated correlations and their associated P-values
• use the CORR procedure's WITH statement to tell SAS to calculate only the correlation coefficients among the variables in the WITH and VAR statements
• understand how sample size can affect the significance of a correlation coefficient
• interpret a correlation coefficient
• use the CORR procedure's PARTIAL statement to tell SAS to calculate partial correlations among variables
• use the CORR procedure's BEST = n option to tell SAS to print only the first n of the ordered estimated correlations
• use the REG procedure to compute a regression equation between two numeric variables
• use the REG procedure's MODEL statement to tell SAS which variable to treat as the response variable and which variable to treat as the predictor variables
• read the typical SAS output from regression analysis to pull off key information, such as parameter estimates, confidence intervals, and P-values
• use the REG procedure's PLOT statement to request residual diagnostic plots
• use the GPLOT procedure to request plots containing estimated regression equations, 95% confidence intervals about the mean of y, and 95% prediction intervals about the individual y-values
• use the REG procedure to conduct a regression analysis involving quadratic terms
• use the REG procedure to conduct a regression analysis involving transformed variables