Outliers in simple linear regression are data points that deviate significantly from the overall pattern of the dataset. They can distort the regression line, affect slope and intercept estimates, and reduce model accuracy. Identifying and addressing outliers is crucial for building reliable and valid regression models.

In Simple Linear Regression Analysis, outliers are data points that significantly deviate from the overall pattern of the data. These values do not follow the general trend of the relationship between the independent and dependent variables and can have a strong influence on the regression line.