True or False: In a model with an interaction variable, we can drop the interaction term if its pvalue>.05
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True or False: In a model with an interaction variable, we can drop the interaction term if its pvalue>.05
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- Which of the independent variables retains the strongest association with the number of children a respondent has when all other variables in the model are controlled? What is that association? Which has the weakest when other variables are controlled?Obtaining significant interactions guarantees that ALL of the main effects will statistically significant as well. true or falseWhich of the independent variables retains the strongest association with the number of children a respondent has when all other variables in the model are controlled?
- Draw a graph where a strong interaction effect is present and then draw a graph where no interaction is present- include variables that you think would be of interaction or no interaction.Does the presence of a significant interaction change the interpretation of significant main effects? Provide one example including a minimum of two independent variables.A psychologist conducts a 2 x 3 x 2 ANOVA. How many main effects are possible? How many interactions are possible?
- What is an example of a graph that shows a strong interaction effect and a graph that shows no interaction effect?1) When the effect of one variable depends on the level of other variable , that is call the main effect True or false 2) When an interaction term is statistically significant , you must be cautious in interoreting the main effects . True or false give above answer and explain ?What is Interaction?
- For the horseshoe crab data with width, colors, and spine as predictors, suppose you start a backward elimination process with the most complex model possible Denoted by C ∗ S ∗ W, it uses main effects for each term as well as the three two-factor interactions and the three-factor interaction Conduct a likelihood-ratio test comparing this model to the simpler model that removes the three-factor interaction term but has all the two-factor interactions. Does this suggest that the three-factor term can be removed from the model? At the next stage, if we were to drop one term, explain why we would select model C ∗ S + C ∗ WIn a study examining the effects of time of day (morning or afternoon) and temperature (cool, normal, warm) on worker productivity, how many interaction effect(s) are possible?For the horseshoe crab data with width, color, and spine as predictors, suppose you start a backward elimination process with the most complex model possible. Denoted by C ∗ S ∗ W, it uses main effects for each term as well as the three two-factor interactions and the three-factor interaction. Table 5.9 shows the fit for this model and various simpler models. a. Conduct a likelihood-ratio test comparing this model to the simpler model that removes the three-factor interaction term but has all the two-factor interactions. Does this suggest that the three-factor term can be removed from the model? b. At the next stage, if we were to drop one term, explain why we would select model C ∗ S + C ∗ W. c. For the model at this stage, comparing to the model S + C ∗ W results in an increased deviance of 8.0 on df = 6 (P = 0.24); comparing to the model W + C ∗ S has an increased deviance of 3.9 on df = 3 (P = 0.27). Which term would you take out? a,b, & c please
