When using simple regression analysis,if there is a strong positive correlation between the independent and dependent variable,then we can conclude that an increase in the value of the independent variable causes an increase in the value of the dependent variable.

Question

Quizplus · Accepted Answer

Correlation does not imply causation. A strong positive correlation between the independent and dependent variable in simple regression analysis indicates a relationship, but it does not prove that changes in the independent variable cause changes in the dependent variable. Other factors or variables not included in the analysis could influence the relationship.

When Using Simple Regression Analysis,if There Is a Strong Positive