Data-Mining Homogeneous Subgroups in Multiple Regression When Heteroscedasticity, Multicollinearity, and Missing Variables Confound Predictor Effects.
Richard B. FrancoeurPublished in: Adv. Data Sci. Adapt. Anal. (2020)
Keyphrases
- multiple regression
- dependent variables
- independent variables
- data mining
- multivariate statistical
- attitudes toward
- statistically significant
- college students
- regression analysis
- regression model
- knowledge discovery
- machine learning
- statistical tests
- missing data
- data mining techniques
- association rules
- cluster analysis
- quantitative and qualitative
- statistical significance
- partial least squares
- chi square
- intelligent tutoring systems
- factor analysis
- undergraduate students
- data analysis
- pedagogical agents
- statistical analysis
- pairwise