Answer: The relationship between independent variable A and dependent variable C and the relationship between independent variable B and dependent variable C can both be analyzed but they must be analyzed using separate scatterplots.
Dependent variable C depends on both independent variable A and independent variable B. Which statement is correct?

Tue Sep 19 2006 14:30:00 GMT-0400 (Eastern Daylight Time) · Moderated mediation is when the effect of the treatment A on the mediator and/or the partial effect B on the dependent variable depend in turn on levels of another variable (moderator). Essentially in moderated mediation mediation is first established and then one investigates if the mediation effect that describes the relationship between the independent variable and dependent variable is moderated by different levels of another variable …

In probability theory conditional independence describes situations wherein an observation is irrelevant or redundant when evaluating the certainty of a hypothesis. Conditional independence is usually formulated in terms of conditional probability as a special case where the probability of the hypothesis given the uninformative observation is equal to the probability without. If A {\displaystyle A} is the hypothesis and B {\displaystyle B } and C {\displaystyle C …

In statistics a confounder (also confounding variable confounding factor extraneous determinant or lurking variable ) is a variable that influences both the dependent variable and independent variable causing a spurious association. Confounding is a causal concept and as such cannot be described in terms of correlations or associations.

Dependent and independent variables - Wikipedia

Dependent and independent variables - Wikipedia

Bivariate analysis - Wikipedia

Dependent and independent variables - Wikipedia

Tue May 13 2003 14:30:00 GMT-0400 (Eastern Daylight Time) · x m i (also called independe...