Logistic Regression Sas Output. Proc logistic data remission outest betas covout. From which we explore its relationship with gender female.
To understand this we need to look at the prediction accuracy table also known as the classification table hit miss table and confusion matrix. The output statement creates a new sas data set that contains all the variables in the input data set and optionally the estimated linear predictors and their standard error estimates the estimates of the cumulative or individual response probabilities and the confidence limits for the cumulative probabilities. The table below shows the prediction accuracy table produced by displayr s logistic regression.
The most basic diagnostic of a logistic regression is predictive accuracy.
The response variable is high writing test score honcomp where a writing score greater than or equal to 60 is considered high and less than 60 considered low. We want a model that predicts probabilities between 0 and 1 that is s shaped. Performing a logistic regression proc logistic data sample. In logistic regression the sigmoid aka logistic function is used.
