Chapter Five - Correlation and Regression

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Chapter Objectives

• Explain the difference between univariate and bivariate
• Explain the comcept of correlation
• Craw scatterplots
• Explain the difference between positive and negative correlation
• Compute a Pearson product-moment sorrelation coefficient (r )
• Interpret correlation coefficients using the terms reliability, carsation, and common variance
• Identify situations in which the Pearson r will not accurately reflect the degree of relationship
• Name and explain the elements of the regression equation
• Compute regression coefficients and fit a regression line to a set of data
• Interpret the appearance of a regression line
• Make predictions for one variable from measuremetns of another variable

• Bivariate Ditributions
• Postive Correlation
• Negative Correlation
• Zero Correlation
• The Correlation Coefficient
• Scatterplots
• The use and Interpretation of r
• Strong Realtionships but Low Correlations
• Other Kinds of Correlation Coefficients
• Correlation and Regression
• Making Predicitons from a Linear Equation
• The Regression Equation - A Line of Best Fit
• What Would You Recommend? Chapters 1-4
• Transition Page 109