IN THIS ASSIGNMENT PLEASE COMPLETE ALL 3 QUESTIONS…Question 1 and question 2 need to be answered in around 200-300 words and one citation. QUESTION 1- Under what circumstances would your analytics model be unable to be validated?QUESTION 2- How would you refine your model if the validation process turned upunexpected results?MAIN QUESTION…This question needs to be done through SPSS.. specifically through CHAID… Three decision trees need to be produced from 3 different Excel sheets… labeled BurndataMis690Capstone.xlsx, CleanBurnDataOver5.xlsx, CleanBurnDataUnder5.xlsx. Week 1 MIS-690-BusinessProblemStatement-Team Fire was our first project referred to in the Main Question, part question 2. Week 2 Analytics focus area-week 3 -topic 3_Data needs identification and Data Acquisition The data needs to be partitioned into 70% training, 20% test, 10% validation. You will need to build a model that will solve the problem that youhave identified. Use one or more of the following softwareapplications: IBM SPSS Modeler, SPSS Statistics, Excel, Tableau, or R.Write a 500-750 word paper describing your model. It will includethe following:What models did you build?Why did you choose thismodel(s)? Be sure that this model specifically ties back to thebusiness problem you created for the Topic 1 assignment.What variables did you include or leave out and why?Provide specific screenshots from the modeling software in yourpaper.Provide the raw software files that you used for this assignment(IBM SPSS Modeler, SPSS Statistics, Excel, Tableau, or R). If R wasused, provide a *.txt file of all the commands used.Prepare this assignment according to the guidelines found in the APAStyle Guide, located in the Student Success Center. An abstract is not required.This assignment uses a rubric. Please review the rubric prior tobeginning the assignment to become familiar with the expectations forsuccessful completion.You are required to submit this assignment to LopesWrite. Please referto the directions in the Student Success Center.