Question

Provide an example where a two-way ANOVA would be appropriate. Then, describe the hypothesized interaction effect (how does the effect of IV #1 depend on the effect of IV #2?).

Answer 1

Solution:-

Given data:-

• Let's assume we two autonomous factors which are Gender and Education level (School, College and University).
• There is one ward variable which is Salary. So we run a two-path ANOVA to test whether both of the two autonomous factors are critical and there is a distinction in Salary over the dimensions of the free factors.
• Presently, if the collaboration impact among Gender and Education level is critical, the effect of Gender on the Salary will likewise rely upon the dimension of the instruction.
• Along these lines, it implies that the compensation of Males will likewise contrast between their instruction levels.