Multiple Linear Regression

When our study involves more than one inde­pen­dent vari­able and we want to under­stand the impact of sev­er­al fac­tors on a sin­gle out­come, we can use mul­ti­ple lin­ear regres­sion. Learn how to cal­cu­late R‑squared, the impor­tance of collinear­i­ty or mul­ti­collinear­i­ty when work­ing with mul­ti­ple pre­dic­tors, and the steps for con­duct­ing a non­lin­ear regres­sion analysis.