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In this tutorial we show you how to conduct simple linear regression analysis in SPSS, and interpret the results of your analysis. Quick Steps. Visualize your data with a scatterplot. Click Analyze -> Regression -> Linear. Move your independent variable to the Independent (s) box. Move your dependent variable to the Dependent box. Click Statistics.
The simple slope that the syntax generated for MODERATOR = -1 (for dichotomous moderators) or MODERATOR = -1SD (for continuous variables) was the same as the slope for MODERATOR = +1/+1SD. Also, the syntax was missing periods at the end of two commands.
In our enhanced guides, we show you how to: (a) create a scatterplot to check for linearity when carrying out linear regression using SPSS Statistics; (b) interpret different scatterplot results; and (c) transform your data using SPSS Statistics if there is not a linear relationship between your two variables.
4 lis 2019 · Is there a test to determine if the two slopes are statistically different from one another? I have looked at difference-in-difference, but it doesn't seem like it fits quite right... I am working in Matlab but also have access to SPSS. regression. statistical-significance. spss. matlab. difference-in-difference. Share. Cite. Improve this question.
6:54 Sample Data Prep (can skip if using your own data)19:22 Simple Slopes Analysis Begins54:47 Plotting the Simple SlopesLearn how to conduct simple slopes ...
From Chapter 15 of my *free* textbook: How2statsbook.Download the chapters here: www.how2statsbook.comMore chapters to come. Subscribe to be notified.
Simple linear regression is a technique that predicts a metric variable from a linear relation with another metric variable. Remember that “metric variables” refers to variables measured at interval or ratio level.
