Multiple Regression Spss. Deviation n bmi 24 0674 1 28663 1000 calorie 2017 7167 513 71981 1000 exercise 21 7947 7 66196 1000 income 2005 1981 509 49088 1000 education 19 95 3 820 1000 correlations bmi calorie exercise income education. The variable that s predicted is known as the criterion.
I cover all of the main elements of a multiple regression anal. Use the following steps to perform this multiple linear regression in spss. Next from the spss menu click.
Each predictor has a linear relation with our outcome variable.
This tells you the number of the model being reported. Multiple linear regression is found in spss in analyze regression linear in our example we need to enter the variable murder rate as the dependent variable and the population burglary larceny and vehicle theft variables as independent variables. I cover all of the main elements of a multiple regression anal. Multiple regression is a statistical technique that aims to predict a variable of interest from several other variables.
