Rise of Online Selling in the UK: Data and Statistics Analysis

This report examines the significant growth of online selling in the United Kingdom, utilizing data from 2014 to 2018. The analysis includes a graphical representation of the sales data, demonstrating a general upward trend with the exception of a slight dip in 2015. Statistical methods, such as mean, median, mode, and standard deviation, are applied to interpret the data, and the results suggest that there is no strong relationship between the values of the online selling. Furthermore, the report employs correlation analysis to determine the relationship between years and online sales, revealing a strong positive correlation. Regression analysis is also performed to understand the interrelation between the two parameters. The findings are presented in a manner accessible to non-technical audiences, making the report useful for businesses seeking to understand and strategize within the online selling landscape. The report is supported by data from Statista, providing a comprehensive overview of the e-commerce market in the UK.

Rise in online selling in UK

Introduction
The presentation-poster is focused on the chosen subject of online selling pattern in
UK. In recent times, online revenues in the United Kingdom have been expanded in an
successful way. The reason for this is emergence of the modern age. The article
provides comprehensive information on interpretation of multiple data using various
methods like regressions, correlation etc. Such methods offer a simple way to interpret
the complicated collection of data.

Interpretation of data set
Years Online selling
2014 513.5
2015 496.2
2016 508.8
2017 582.3
2018 688.4

Graphical presentation

Continue
The graph gives statistics on online selling data for various
periods. Through this above table, it can be mentioned that
online selling are growing in an successful manner last year.
Other than 2015, where internet revenue declined by around
17.3 billion. This spike in online selling is indicator of the
internet revaluation of the different sectors in the UK.

Information analysis (mean,
mode etc.)
Statistics
Online sales
N Valid 5
Missing 0
Mean 557.840
Median 513.500
Mode 496.2a
Std. Deviation 80.3347
a. Multiple modes exist. The smallest value is shown

Continue (interpretation)
The mean value, mode, median value and standard deviations of the selected data
collection of internet selling in the United Kingdom are determined in table described.
The mean figure is around 557.84 as well as standard deviation is around 80.33. These
values so far apart, which indicate there's no relationship between values reached in
online selling. The same is true of mode value is 496.2 which specifies that such
figure of online revenues is produced in each corporation.

Correlation
In attempt to ascertain correlation between various types of data
sets, a variety of approaches exist and correlation has been one
of those. Correlation is statistical measure/technique which
reflects the extent to which such two parameters are
consecutively related (implying that they pass across one
another at the constant speed). It is fundamental technique with
no intervention and no response to clarify underlying
relationship.

Continue (Calculation)
Correlations
Year
Online
sales
Year Pearson
Correlation 1 .858
Sig. (2-tailed) .063
N 5 5
Online sales Pearson
Correlation .858 1
Sig. (2-tailed) .063
N 5 5

Continue (interpretation)
On the grounds of the aforementioned table, it could be seen that
here two factors, years and online selling data. Table indicates
that there is strong relationship among such two factors. This is
because the pearson correlation level is around 0.858, which is
higher than the normal relationship criterion (0.3-0.6). In
comparison, the disparity in magnitude of importance is 0.063,
which is greater than 0.05.

Regression analysis

Continue (Calculation)

Analysis
The tables described demonstrate that the two parameters are not interlinked. That is
since the value of the significant disparity is 0.64 (0.05<0.64). And the value here of R
is around 0.858, this indicates that there's a good relationship.
All of these analyses could be helpful for company customers who are of non-
technical context. This is since, under each study, the relationship between the data
collection is stated and will help to make potential plans and tactics relevant to online
selling

Reference
About online sales data, 2019 [online] available
through:<https://www.statista.com/statistics/282162/e-
commerce-annual-sales-in-the-united-kingdom-uk/https://
www.statista.com/statistics/282162/e-commerce-annual-sales-
in-the-united-kingdom-uk/>