This test is based on using Linear Regression and Pearson’s r critical value.
• Identify (if appropriate) the response and explanatory variable for the study.
• Create and/or discuss the scatterplot, identifying: form, strength and direction, and outliers.
• Find r, rcv, and determine if any linear association found in the sample is statistically significant.
• Determine if the least squares regression model would give accurate predictions. Discuss in terms of: scatterplot, r, rcv, and range of x-values in
the data set
• If appropriate, find the least squares regression model (equation) for the given set of data.
• Identify/Compute and interpret the slope (b1) and intercept (b0) values.
• Use the regression line to make predictions.