Question

In Regression Analysis, if the effect of an independent variable on dependent variable is small and we are not able to explain why the independent variable should affect the dependent variable in a particular way, we may be risking ___________ to our particular sample of data.

Answer 1

Answer:

which is a technique used to quantify the associations between two continuous variables. For example, we might want to quantify the association between body mass index and systolic blood pressure, or between hours of exercise per week and percent body fat. Regression analysis is a related technique to assess the relationship between an outcome variable and one or more risk factors or confounding variables (confounding is discussed later). The outcome variable is also called the response or dependent variable, and the risk factors and confounders are called the predictors, or explanatory or independent.