An Introduction to Logistic Regression Writing up results Some tips: First, present descriptive statistics in a table. Make it clear that the dependent variable is discrete (0, 1) and not continuous and that you will use logistic regression. SPSS Regression Output II - Model Summary Apart from the coefficients table, we also need the Model Summary table for reporting our results. R is the correlation between the regression predicted values and the actual values. For simple regression, R is equal to the correlation between the predictor and dependent variable.

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    Formula for linear regression equation is given by: a and b are given by the following formulas: Where, x and y are two variables on the regression line. b = Slope of the line. a = y -intercept of the line. x = Values of the first data set. y = Values of the second data set.

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