Numeracy and Data Analysis - Individual Assessment

Numeracy and Data
Analysis - Individual
Assessment

Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
1. Arrange the data in the table format........................................................................................3
2. Prepare the charts of the above table.......................................................................................3
3. Calculate the following by explaining all the steps of calculation..........................................4
4. Using the linear forecasting model frame the regression equation and calculate the value of
m and c.........................................................................................................................................7
a) Calculate the value of m by writing down the steps of calculation.........................................7
b) Calculate the value of c by writing down the steps of computation........................................8
c) Calculate the value of m and c on day 11 and 13....................................................................8
CONCLUSION................................................................................................................................9
REFERENCES..............................................................................................................................10

INTRODUCTION
Data analysis is done on the collection of the certain information (Cheung, Dulay and
McBride, 2020). The data in the report is collected of the city Wales which is in the United
States and the descriptive analysis will be performed of the data. Further, the regression equation
will be formed and the forecast calculation of 2 days will be made on the basis of the equation.
MAIN BODY
1. Arrange the data in the table format.
Humidity Data
Day (x) Humidity (y)
1 80
2 78
3 89
4 97
5 83
6 87
7 92
8 75
9 66
10 79
2. Prepare the charts of the above table.
1 2 3 4 5 6 7 8 9 10
0
20
40
60
80
100
120
Humidity level