Description
I have an assignment related Data Analytics and the details are shown below:DATA: Available on Canvas under a folder named ‘Assignment’ within the Z402 Files. You have been provided House Price data from a region in the USA. Find the details: TASK: The task is to estimate house price based on several explanatory variables like “lotSize”, “age”, “landValue”, etc. You may choose to use only some of the variables to explain house price if you like. • Your report should be two pages (with font size at least 11) and include: • Summary of the Process of analysis Rationale for the final model Significance and some Diagnostics. Submission details on Canvas. Please do not submit your Excel Sheet (or Code) or an Appendix. NOTE: This is an individual assignment, and you are expected to work on your own to complete the assignment.Data on house prices from a county in the USA. A data frame with 1728 observations on the following 16 variables. 1. price price (1000s of US dollars) 2. lotSize size of lot (square feet) 3. age age of house (years) 4. landValue value of land (1000s of US dollars) 5. livingArea living are (square feet) 6. pctCollege percent of neighbourhood that graduated college 7. bedrooms number of bedrooms 8. firplaces number of fireplaces 9. bathrooms number of bathrooms (half bathrooms have no shower or tub) 10. rooms number of rooms 11. heating type of heating system 12. fuel fuel used for heating 13. sewer type of sewer system 14. waterfront whether property includes waterfront 15. newConstruction whether the property is a new construction 16. centralAir whether the house has central air