refers to the scenario in which the relationship between the dependent variable and one independent variable is different at different values of a second independent variable.

Factorial design

Step-by-step explanation:

Factorial design refers to the scenario in which the relationship between the dependent variable and one independent variable is different at different values of a second independent variable. A factorial design is often used by to understand the effect of two or more independent variables upon a single dependent variable.

Interaction

Step-by-step explanation: Interaction in statistics occurs mostly during factorial experiments and analyzes of regression. When two variables interact, it means the

relationship between them and some other variable (dependent), depends on the value of the other interacting variable.Simply put, the relationship between the dependent variable and one independent variable is different at different values of a second independent variable.

Finding interacting variables involve having a factorial design. Here, independent variables are "crossed" with one another so that there are observations at every levels of combination of the independent variables.

y=1/4x-4

step-by-step explanation: