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
In this post, a discussion about diagnostics for a Leverage Influential point and outlier will be made. In a regression analysis, certain observations may play a role in influencing the outcomes of the fitted model and its estimates. These observations may be classified as outliers, leverage, and influential points. Outliers, …
This Post contains Online Correlation and Regression Quiz, 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. Click the links below to start with the MCQs on the Online Correlation and Regression …
The term “Homoscedasticity” is the assumption about the random variable $u$ (error term) that its probability distribution remains the same for all observations of $X$ and in particular that the variance of each $u$ is the same for all values of the explanatory variables, i.e the variance of errors is …
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 …