Analyzing departures from linearity (K-A)

• Standard deviation of residuals or root mean square deviation (RMSD) (K-A)
• Interpreting computer regression data (K-A)
• Impact of removing outliers on regression lines (K-A)
• Influential points in regression (K-A)
• Transforming nonlinear data (K-A)
• Worked example of linear regression using transformed data (K-A)