Relation between average and number of innings played in cricket

Page 1
Data Analysis for Business: Assessment 1
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TITLE:
Is there relation between average and number of innings played?
ABSTRACT:
Approximately 30-50 words summarizing your entire paper.
This study has described about the relation of cricket player average with number of innings
played. In that primary data of top 150 cricket players is selected. moreover, regression analysis is used
to analyse data. It has been interpreted that P value obtained is P= .054 which is more than P= 0.05. so,
there is relation between average and innings played.

Page 2
Data Analysis for Business: Assessment 1
INTRODUCTION:
In cricket there are many high class players whose performance is very high. It is because they
have performed well in test cricket. Thus, in this the main goal of study is to find out relation between
average and innings played among Indian players (Munch, 2017). Moreover, focus of analysis will be
how many Indian player is having average above 50. With that it will be easy to interpret data and info.
DATA AND METHODS:
There is need to use data in order to interpret outcomes. Thus, for current study primary data was
collected of 150 best cricket players. However, the two columns of data is being used in it that is
average and innings played by player. There were no missing values in data and info. The method
which were used for data analysis is regression. It was useful in finding out relation of average with
innings (Miles, Huberman and Saldaña, 2018).
FINDINGS:
In this it was expected that there will be relation between average and innings played. It is
because when there is more innings played there is more average. But there occurred changes over
time as average is not related to innings played by player. So, it is discovered there is average does not
increase by playing more innings.
Regression Statistics
Multiple R
0.05096
8
R Square
0.00259
8
Adjusted R
Square
-
0.00453
Standard Error
8.18093
7
Observations 142
ANOVA
df SS MS F
Significanc
e F
Regressio
n 1
24.4039
4
24.4039
4
0.36463
1 0.546923
Residual 140
9369.88
3
66.9277
4
Total 141
9394.28
7
Coefficien
ts
Standar
d Error t Stat P-value
Lower
95%
Upper
95%
Lower
95.0%
Upper
95.0%