Prone to outliers
Linear regression is very sensitive to outliers (anomalies). So, outliers should be analysed and removed before applying Linear Regression to the dataset.
Linear regression is very sensitive to outliers (anomalies). So, outliers should be analysed and removed before applying Linear Regression to the dataset.
Hello, I am Jamaley. I did my graduation from StaffordShire University UK . Fortunately, I find myself quite passionate about Computers and Technology.
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