query: testing interaction terms in regression model
positive_passages.docid: 146192
positive_passages.text: What are best practices in identifying interaction effects?
negative_passages.docid: 105349
negative_passages.text: pull out p-values and r-squared from a linear regression
negative_passages.docid: 145162
negative_passages.text: Logistic Regression - Adding interactions makes Independent variable statistically insignificant
negative_passages.docid: 133443
negative_passages.text: Removing constant from the regression model
negative_passages.docid: 38104
negative_passages.text: How to test the effect of a grouping variable with a non-linear model?
negative_passages.docid: 71727
negative_passages.text: Calculating and interpreting effect sizes for interaction terms
negative_passages.docid: 72998
negative_passages.text: Is regression line (for a simple "Y given X" regression, no interaction etc) always unique?
negative_passages.docid: 33067
negative_passages.text: Testing nonlinearity in logistic regression (or other forms of regression)
negative_passages.docid: 147938
negative_passages.text: MAPE vs R-squared in regression models
negative_passages.docid: 120489
negative_passages.text: Testing linear restriction in R
negative_passages.docid: 953
negative_passages.text: Regression: Transforming Variables
negative_passages.docid: 60645
negative_passages.text: Including Interaction Terms in Random Forest
negative_passages.docid: 27545
negative_passages.text: Can I probe cross-level interactions without random slope in a hierarchical linear model?
negative_passages.docid: 41646
negative_passages.text: Perform linear regression, but force solution to go through some particular data points
negative_passages.docid: 107949
negative_passages.text: Testing a regression coefficient against 1 rather than 0
negative_passages.docid: 52242
negative_passages.text: Interpreting coefficients of an interaction between categorical and continuous variable
negative_passages.docid: 142074
negative_passages.text: Solving linear regression with weights and constraints