## Hierarchical Multiple Regression SPSS

In this tutorial, we will learn how to perform hierarchical multiple regression analysis SPSS, which is a variant of the basic multiple regression analysis that allows specifying a fixed order of entry for variables (regressors) to control for the effects of covariates or to test the effects of certain predictors …

## Model Selection Criteria (2019)

All models are wrong, but some are useful. Model selection criteria are rules used to select a (statistical) model among competing models, based on given data. Several model selection criteria are used to choose among a set of candidate models, and/ or compare models for forecasting purposes. All model selection …

## MCQs on Correlation and Regression 3

This Post contains MCQs on Correlation and Regression Analysis, Multiple Regression Analysis, Coefficient of Determination (Explained Variation), Unexplained Variation, Model Selection Criteria, Model Assumptions, Interpretation of results, Intercept, Slope, Partial Correlation, Significance tests, Multicollinearity, Heteroscedasticity, Autocorrelation, etc. Let us start MCQs on Correlation and Regression Analysis. Correlation is a statistical measure …

## Coefficient of Determination Formula (2019)

In this post, we will discuss not only the coefficient of determination formula but also the use and computation of the coefficient of determination. Coefficient of Determination as a Link between Regression and Correlation Analysis. Coefficient of Determination $R^2$ in Statistics The R squared ($r^2$; the square of the correlation …