This assignment is worth 15% of your total mark.
It must be submitted online to the Blackboard course website. You must submit the assignment
Via the TURNITIN link by 4:30 pm on Wednesday, 29th of October 2014. Late assignments will be
Penalized at 10% for submission after due time on due date, plus 10% (of the possible marks) per
Day late,including weekends.
The$ assignment$ must be done individually and plagiarism will result in severe penalty and
Possibly a zero$(0)$mark.
The assignment will be marked out of 60. Marks allocated for each question are shown.
Professional and clear presentation is a required and assessed component of this assignment: 5 marks out of 60 are allocated specifically for that component.BUSS 1020 Quantitative Business Analysis
You have recently taken on work as the quantitative business analyst for a real estate agency in
The US. The agency has in the past followed some adhoc rules to form valuations of houses and
Properties (a valuation is an estimate of the value or price of a property).The agency has recently
acquired some data on house sales, and has hired you to help analyse it and answer some$
questions$they$have. The data are in the file “Assignment_data.csv” that is available on the
BUSS1020 Blackboard site. You are required to present and explain all your assumptions and$
Discuss whether they could be true, or not, in each case.
(10!marks) Datasummary and!visualization
The data consists of variables regarding$ the sale of houses in the US. Variables include the sale
price, square footage of the property, the number of bedrooms and bathrooms in the house,
whether the house is primarily made of brick or not, number of offers before one was accepted,
the location of the neighbourhood and associated dummy variables. A summary of each variable$
is given below.(The dataset will also be further analysed and used in Tasks$2 and 3, which you
should read now.)
Explore the data. Construct graphs and summary statistics for this data set, focusing on those
That are most relevant to each of the variables and questions in Tasks 2 and 3. Discuss