This last chapter summarizes most of the material in this book in a range of concluding statements. It provides a summary of the lessons learned. These lessons can be viewed as guidelines for research practice.

Chapter 15 covers CORRELATION AND SIMPLE REGRESSION AS INFERENTIAL TECHNIQUES and includes the following specific topics, among others:Bivariate Normal Distribution, Statistical Significance Test of Correlation, Confidence Intervals, Statistical Significance of b-Weight, Fit of the Overall Regression Equation, R and R-squared, Adjusted R-squared, Regression Diagnostics, Residual Plots, Influential Observations, Discrepancy, Leverage, Influence, and Power Analyses.

Chapter 15 covers correlation and simple regression as inferential techniques and includes the following specific topics, among others: bivariate normal distribution, statistical significance test of correlation, confidence intervals, statistical significance of the b weight, fit of the overall regression equation, R and R-squared, adjusted R-squared, regression diagnostics, residual plots, influential observations, discrepancy, leverage, influence, and power analysis.