Model to Represent the Housing Prke Regression Mode Engineering Assignment Help

Assignment Task

Task    

4 Open excel sheet Q4 of the Excel file provided for this assignment. This Excel sheet is about the probability of accepting loan applications. If the bank accepts the customer loan application, it is shown by 1. if the bank rejects the customer loan application, it is shown by 0. In the Excel sheet, the variable "a ctuar indicates the actual probability of accepting a customer loan application. The variable "prediction" is the output of the logistics regression model indicating the probability of loan application acceptance. 4.1 Considering the cut-off value of 60%, develop the confusion matrix. What insights we can get from this confusion matrix. 
4.2 Considering the cut-off value of 60%, calculate sensitivity, specificity, class I error, class 0 error, and overall model error. Interpret the results.  
5 Open excelsheet 05 of the Excel file provided f or th is assignment. This data set presents a sample of properties in Melbourne, including information about price, condition, postcode, area and the number of bedrooms. 
5.1 Develop a multiple regression model including all the variables to predict the price? Interpret the output of the regression model. 
5.2 How much is the price of a new property with the postcode of 3003, area of 500 and 5 bedrooms? Is there anything concerning you?  
5.3 Considering the developed model, which property provides the best investment opportunity? Present a detailed argument 
5.4 Do you think a potynomialdegree 2 multiple regression model can be a better model to represent the housing prke?Justify your answer.
 

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