What is Regression threats?

Regression threats refer to factors that can compromise the validity of regression analysis results, often leading to incorrect conclusions about the relationships between variables. Common threats include omitted variable bias, where important predictors are left out, multicollinearity among independent variables, and measurement errors in the data. These issues can distort the estimated relationships, making it essential for researchers to carefully consider and address them during analysis. Proper model specification and diagnostic tests can help mitigate these threats.