11 Useful Tips for Regression Analysis
This LinkedIn Learning course, \”11 Useful Tips for Regression Analysis,\” breaks down essential tips for handling regression in data analysis. It covers practical advice like ensuring data quality, checking for multicollinearity, and choosing the right model to get meaningful insights. The course also stresses the importance of understanding assumptions behind regression models and using residual plots to assess model fit. Key tips include always starting simple, being cautious with outliers, and properly interpreting p-values and confidence intervals. The course is packed with actionable steps that can help anyone working with regression, from beginners to more experienced analysts.