Statistics MCQs, Data Analysis, Stat Software
Correlation and Regression Analysis, simple and multiple regression, regression, regression diagnostics, Assumptions of the regression model, model selection criteria, Linear Regression models, Relationship between Variables, Strength, and direction of the relationship
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 …
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 …
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 …