Real World Analytics - Assignment Sample

Running head: REAL WORLD ANALYTICS
Real World Analytics
Name of Student:
Name of University:
Author’s Note:

1REAL WORLD ANALYTICS
Part A:
Description:
The concepts of “heating load” and “cooling load” are utilized to help in understanding
the specifications of the equipment for the purposes of heating and cooling in the buildings
where they are applicable. Thus it can be said that these are major variables which are to be kept
in mind at the time of the creation and design of energy efficient buildings at the time of
considering the ways in which the energy consumption can be optimized. There are two specific
variables which are to be considered in this assignment. The variables which are considered are
that of Heating Load (Y1 or HL) and Cooling Load (Y2 or CL).
The two variables which are to be considered are the heating and cooling load. The
independent variable which are to be considered are relative compactness (X1), which is
considered in percentage, the surface area (X2) which is considered in square meters, the wall
area (X3) is considered in square meter, the area of the roof (X4) considered in square meter and
finally the overall height (X5) are to be considered as potential influences on the response which
has been considered. Out of a total of 700-800 points, a random sample of 300 has been chosen
for the analysis. The analysis was conducted in the R software.
Task 1:
The required data file is downloaded from the CloudDeakin website that has been
maintained as per the instructions. In this case the dependent variable is that of the “heating
load” is considered to be the variable of interest and it is also the dependent variable. The

2REAL WORLD ANALYTICS
independent variables, dependent variables, the graphical and visual representations and the
histogram plots indicate the distribution of the variables.
Figure 1: Histogram of per annum heating load
The histogram of the heating load is positively skewed and it is curved towards the left
sides. The lower frequencies are observed towards the right tail of the distribution. It is clearly
seen that the highest value of the distribution is between the value of 15-20 KWhm^-2.
Figure 2: Histogram of Relative compactness

3REAL WORLD ANALYTICS
The values are obtained between the higher value range. The lesser number of the
frequencies are observed beyond the end of the tail. The distribution is right skewed.
Figure 3: Histogram of Surface Area