While ordinary least squares (OLS) analysis remains a cornerstone in data inference, its requirements aren't always fulfilled. Therefore, investigating substitutes becomes critical, especially when handling with complex connections or violating key assumptions such as typicality, constant variance, or freedom of remnants. Perhaps you're facing uneq
Delving into Beyond OLS: Techniques for Regression
While Ordinary Least Squares (OLS) remains a foundational technique/method/approach in regression analysis, its limitations sometimes/frequently/occasionally necessitate the exploration/consideration/utilization of alternative methods. These alternatives often/may/can provide improved/enhanced/superior accuracy/fit/performance for diverse/varied/un