PSY 197 Lecture Notes - Lecture 3: Scatter Plot, Explained Variation, Job Performance
31 May 2017
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Document Summary
In statistical modeling, regression analysis is a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables, when the focus is on the relationship between a dependent variable and one or more independent variables (or "predictors"). Heteroskedastic - the predictive power of regression analysis from low levels of the x values to high levels of the x value. Plots to test -> zpred as x and zresd as y = creates a scatter plot and ideally you wanna see random scattered data. R value is the percentage of variance that affects your results. Method of measuring and describing the relationship between two variables. Direction (negative or positive; indicated by the sign, + or of the correlation coefficient) Strength or consistency (varies from 0 to 1) On spss -> analyze -> correlate -> bivariate -> put the two variables you want to see in the box -> two-tailed or one tailed.
