Outliers: By introducing extreme values that deviate significantly from the rest of the data, outliers can exert a disproportionate influence on the regression line.
False data: Introducing false or fabricated data points deliberately can disrupt the integrity of linear regression analysis by introducing artificial patterns or trends, leading to biased estimates.
Data manipulation: Manipulating the values of existing data points or intentionally excluding certain data points can also influence linear regression outcomes.
Data