PSYCH 2220 Chapter Notes - Chapter 16: Linear Regression, Statistical Model, Structural Equation Modeling
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You can use a correlation coefficient to develop a prediction tool. Simple linear regression - a statistical tool that lets us predict a person"s score on a dv from his or her score on 1 iv. Regression can provide specific quantitative predictions that more precisely explain relations among variables. The first z score is for the dv, the second z score is for the iv. Regression to the mean - the tendency of scores that are particularly high or low to drift toward the mean over time. Zx = (x - mx) / sdx. Step 2) multiply the z score by the correlation coefficient. Step 3) convert the z score to a raw score. A is the intercept - the predicted value for y when x is equal to 0, which is the point at which the line crosses, or intercepts, the y-axis.