xplore the data by using Analyze$>$Distribution for all possible input variables $($i$.$e$.,$ all possible predictors including categorical variables$).$ How many input variables have missing observations? Hint: Hold ctrl while clicking on the red triangle next to Summary Statistics $>$ Customize Summary Statistics $>$ check $"$N missing".r Question $2$ How many levels does the variable Bldg Type contain? Question $32$ pts O No$.$ Sale Price and $$350$k$+$ are both target variables. Sale Price is not an indicator of whether a house is more than $$350$k$.2$ pts If we are trying to predict if a house is more than $$350$k or not $($the column $$350$k$+),$ should we include the variable Sale Price in the model as an input? Why or why not? $4$ O Yes. Sale Price is useful for determining whether a house is more than $$350$k$.$ O No$.$ Sale Price is a quantitative variable.