Give typed solution full explanation

71. Award: 1.00 point Why are the partial effects of the two predictor variables more difficult to interpret when a model contains the interaction of two numerical variables? 0 The partial effect of either predictor variable depends on the value of the other predictor variable. 0 Models with an interaction of two numerical variables is no more difficult to interpret than other interactions. 0 The partial effects can only be interpreted at the sample means of Xgand x2. 0 Comparing models with and without the interaction terms depends on the value of 92. References Multiple Choice Difficulty: 2 Medium Learning Objective: 08-01 Estimate and interpret regression models with interaction variables. 55. Award: 1.00 point A regression model treats all predictor variables as numerical, where observations of a categorical variable are first converted into numerical values. References True! False Difficulty: 1 Easy Learning Objective: 07-01 Estimate and interpret a linear regression model