Suppose you are trying to build a regression model to predic…
Suppose you are trying to build a regression model to predict/explain an individual’s credit card balance (CC Balance). You are thinking of including the following x-variables to help explain CC Balance: Family Size, Weekly Food Spending, Number of Vehicles Owned, and Monthly Housing Spending. Correlations CC Balance ($) Family Size Weekly Food ($) Vehicles Family Size 0.131 Weekly Food ($) -0.139 -0.012 Vehicles -0.001 0.729 -0.023 Monthly Housing -0.000 0.121 -0.005 0.341 Looking at the correlation matrix above, do you see any obvious signs of multicollinearity? Explain what that means (in the context of the problem). What would you do to solve the multicollinearity problem?
Read DetailsSuppose the input is 2 3 4 5 0. What is the output of the fo…
Suppose the input is 2 3 4 5 0. What is the output of the following code? import java.util.Scanner; public class Test { public static void main(String[] args) { Scanner input = new Scanner(System.in); int number, max; number = input.nextInt(); max = number; while (number != 0) { number = input.nextInt(); if (number > max) max = number; } System.out.println(“max is ” + max); System.out.println(“number ” + number); }}
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