Join us for an insightful SPSS Training Workshop on Multiple Regression designed to empower participants with practical skills to analyze relationships between multiple independent variables and a dependent variable. This hands-on workshop will cover: Understanding the principles and assumptions of multiple regression analysis. Importing and preparing datasets in SPSS. Interpreting SPSS output for regression coefficients, R-squared values, and significance tests. Diagnosing multicollinearity and other common issues. Conducting model refinement and validation. This workshop is ideal for students, researchers, and professionals seeking to enhance their data analysis capabilities. Participants will gain confidence in applying multiple regression techniques to real-world problems.

Relative Importance Index (RII) Analysis is performed in R using simple and straight forward code. Survey data already on Excel file is used to demonstrate the task and some simple visualizations were added.

This explains how we can model multiple responses regression model in neural network using R

Multiple plots with same x axis using R

Visualization of means of a continuous data against some categorical variables.For example number of bacteria counts in some locations, among some vegetables, and type of bacteria