query: Linear Regression with Non-numeric Variables
positive_passages.docid: 25399
positive_passages.text: Predicting with both continuous and categorical features
negative_passages.docid: 10329
negative_passages.text: Algorithm for minimization of sum of squares in regression packages
negative_passages.docid: 26034
negative_passages.text: Choosing variables to include in a multiple linear regression model
negative_passages.docid: 116939
negative_passages.text: Co-linearity/Stepwise regression
negative_passages.docid: 13491
negative_passages.text: Ordinal data in regression?
negative_passages.docid: 112590
negative_passages.text: How to deal with multicollinearity when performing variable selection?
negative_passages.docid: 146242
negative_passages.text: Fitting a variable using multiple equations
negative_passages.docid: 29645
negative_passages.text: Regression when the OLS residuals are not normally distributed
negative_passages.docid: 110595
negative_passages.text: Linear regression with slope constraint
negative_passages.docid: 2219
negative_passages.text: How do you deal with "nested" variables in a regression model?
negative_passages.docid: 148679
negative_passages.text: Modelling with more variables than data points
negative_passages.docid: 52876
negative_passages.text: References for weighted linear regression with linear constraints on the coefficients?
negative_passages.docid: 10405
negative_passages.text: How to tell the difference between linear and non-linear regression models?
negative_passages.docid: 124337
negative_passages.text: Degrees of freedom in regression
negative_passages.docid: 72855
negative_passages.text: Histogram For Non-Numerical Data
negative_passages.docid: 149237
negative_passages.text: Getting negative predicted values after linear regression
negative_passages.docid: 110461
negative_passages.text: Fitting data without an equation