University | Singapore University of Social Science (SUSS) |
Subject | BUS105: Statistics |
Discussion Question
As part of their Science Festival, a group of university undergraduate is attempting to build a multiple regression model that could help homeowners to predict the amount spent on electricity based on the following parameters (independent variables):
- Number of Occupants in the house
- Floor Area of the House
- Number of Window Opening in the house
- Number of Lightings in the house
- Age of the Air-conditioner
- Average Daily Temperature
Hire a Professional Essay & Assignment Writer for completing your Academic Assessments
Native Singapore Writers Team
- 100% Plagiarism-Free Essay
- Highest Satisfaction Rate
- Free Revision
- On-Time Delivery
Based on 100 household data surveyed randomly from the neighborhood, they discovered that only these parameters are truly significant for the multiple regression model:
- Number of Occupants in the house
- Floor Area of the House
- Number of Window Opening in the house
- Number of Lightings in the house
With that, the group submitted their project report with the regression model equation that contains the above-reduced set of parameters.
You are the judge for the project. Discuss whether there are other statistical analysis needs to be performed before approving the revised result. Justify your answer with example(s) or evidence(s).
We are a very reputable assignment writing company in Singapore. We have built our reputation by providing A+ grade solutions to all students. Our assignment experts offer advanced (BUS105) statistics assignment help to SUSS university scholars as per their university guidelines. If you want to draft an excellent assignment then avail (BUS105) statistics assignment sample that will guide you in your task.
Looking for Plagiarism free Answers for your college/ university Assignments.
- SOC307 Classical Social Thought Tutor-Marked Assignment 02
- 7WBS2007-0901-2025 Human Resource Management Assignment 1 Brief 2025
- MKTG1270 Product Innovation Management Authentic Case Assessment 3 – Semester 2, 2025
- BSE315 Recreational Sport Programme Management End-of-Course Assessment – July Semester 2025
- CVE2151 Transportation Engineering Assignment – Highway and Traffic Engineering
- Law of property Assignment Part 1 Short Questions
- BPM113 Construction Technology Tutor-Marked Assignment Two July 2025 Presentation
- BC2406 Analytics I: Visual and Predictive Techniques AY2025 Computer Based Assessment (CBA)
- Visual Arts Management Assignment 1 Coursework – Singapore Art Science Museum
- BUS366 Lean Six Sigma End-of-Course Assessment – July Semester 2025