Answer :
There is a significant interaction, according to Trey's results of a factorial experiment. Trey must conduct an additional statistical test called Factorial effects in order to describe the interaction results. So, choice B is the right choice.
What is a significant interaction?
There are significant changes between your groups or over time if there is a significant interaction effect. In other words, depending on a group's membership, the change in ratings over time varies. An interaction in statistics refers to a situation in which the impact of one causal variable on to an outcomes depends on the state of a second causal variables and may occur while studying the link among three or more variables.
How can you tell if a relationship is important?
Compare the term's p-value to your significance threshold to evaluate the null hypothesis and decide whether the relationship between the response and each term in the model is statistically significant. No relationship between the term and the response is the null hypothesis. For every main effect and interaction, it will always be possible to compare the means. There is a main effect if the two means from a single variable differ from one another. A primary effect exists if the two means for the other variable vary.
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