MACHINE LEARNING

Detailed explanation-1: -Which of the following statement is true about outliers in Linear regression? The slope of the regression line will change due to outliers in most cases. So Linear Regression is sensitive to outliers.

Detailed explanation-2: -It is sensitive to outliers and poor quality data-in the real world, data is often contaminated with outliers and poor quality data. If the number of outliers relative to non-outlier data points is more than a few, then the linear regression model will be skewed away from the true underlying relationship.

Detailed explanation-3: -In linear regression, the relationship between the two variables is assumed to be linear. This answer is true.