Impact of Environment on Travel in the Last 5 Years

This report analyses the impact of environment on the tourism sector in the UK over the last 5 years. It includes a descriptive statistics and regression analysis of the relationship between travellers and revenue earned. The report concludes that there is a high correlation between the two variables and the revenue is highly dependent on the travelling people.

Environment impact
on travel over the last 5
years

Contents
INTRODUCTION...........................................................................................................................3
MAIN BODY..................................................................................................................................3
Key Objectives for the project.....................................................................................................3
Research Methodology................................................................................................................3
Source of Data.............................................................................................................................4
Appropriateness of data...............................................................................................................4
Analysis performed......................................................................................................................5
Visualisation of Data...................................................................................................................7
Conclusion for the analysis..........................................................................................................7
Working of assemble and future changes that can be taken........................................................7
Issues confronted and the future upgrades in counter.................................................................8
CONCLUSION................................................................................................................................9
REFERENCES..............................................................................................................................10

INTRODUCTION
Statistics is a collection, organising, interpretation, presentation and analysis of data. It is
used in analysing and presentation of the population studied under (Cao and et.al., 2018). In the
following report it consists of simple linear regression analysis and multiple linear regression
analysis. Further in the report it also consists of the forecasting analysis which is plotted on the
graph in the data set. At last it includes the dashboard analysis which explains about the finding
of the report and the steps which includes steps and functionality of the statistical function.
MAIN BODY
Key Objectives for the project.
 To determine the relationship between the factors travellers and the revenue earned in
UK.
 To find out the descriptive statistics of the data collected.
 The importance of traveling in the contribution of GDP of United Kingdom.
Research Methodology.
Research Type
There are two types of inspections, for example, subjective and quantitative inspections
that help achieve goals. Subjective inspection is related to having hypothetical data, although
quantitatively means having mathematical information. The successful assessment of natural
impacts in friendly areas is possible due to the incorporation of momentum-centric quantitative
exploration types into the structural design strategies to obtain mathematical information. This
makes it possible to guide exploration in a structured way (Cecchi, D'Amato and Annesi-
Maesano, 2018).
Research approach and philosophy
There are two methods, including the inductive method and the rational method. For
ongoing exams, a logical approach is appropriate, as quantitative types of studies have been
selected. In this case, the point is to have hypotheses, then theories, perceptions, and affirmations
so that the collection goal becomes conceivable. From well-understood ways of thinking, such as
interpretivism and positivism, centres are given around positivist theory, which guides logical
testing of conjectures and tracing coherent evidential reality.

Data collection
In order to lead the exploration in a convincing way, this means quite zero in having a
proper classification of the information. Basic and optional are two techniques that can be used
for interaction. In the current review, experts highlighted the use of optional information now
distributed on websites, diaries, articles, etc. This helps to obtain the level of fit of the data and
therefore objectively have suitable data to lead a review of natural impacts on accommodation
areas. Auxiliary information provides a key solution through extensive commentary presentation
(Smith, 2019).
Data analysis
To assess the overall data collected, thematic analysis techniques and excel can be used.
For this report, the focus is on the use of excel tools that help to gain the proper ability to use
correlation and regression to enable accurate findings. The main reason to use the excel tool is
because it is a quantitative type of research, so it has become possible to utilize correlations and
regressions in a fair and efficient way.
In recent research, I have emphasized doing data analysis, which involves the level of
saliency of information so that correct results can be drawn. This helps to obtain corrected
results, thus enabling important research.
Source of Data.
The information comes from the authority site of the Office of National Statistics (ONS).
The information is gathered from the National Statistics Office as it is the authority site of the
Executive Office of the National Statistics Office. It is a non-ministerial office announcing
straightforwardly to the nation's parliament. It is a secondary source of solid information for
measurable use (Hughson, Helm and Durante, 2018).
Appropriateness of data.
In the current analysis for achieving the target of the review center has been furnished
around conforming to the moral necessities. For substantial and dependable review, references
after 2016 has been taken into the cycle. The information accessible on the copyright sources has

been utilized for guaranteeing that moral and fair data that can adapt up to introduce working.
For giving the credit, legitimate use of references has been given. For making restorative report
no progressions in information has been made for keeping up with dependability of study. It has
not duplicated any data and focused on making precise and fair review.
Analysis performed.
Year Travellers to UK Revenue earned
Year 2017 41080 28396
Year 2018 40283 26508
Year 2019 40857 28448
Year 2020 11101 6210
Year 2021 1780 1786
The above table portrays the information utilized in the task for examining the effect of
environment on the tourism industry of UK. The main segment addresses the quantity of the
years whose information has been chosen. Next section addresses the number of travellers over
the last 5 years of the non – residents of UK who have visited UK overseas. Last section
addresses the extent of the revenue earned due to the travelling industry in UK.
SUMMARY OUTPUT
Travellers to UK Revenue earned
Mean 23505.25 15738
Standard Error 10035.05534 6849.440902
Median 25692 16359
Mode #N/A #N/A
Standard Deviation 20070.11069 13698.8818
Sample Variance 402809342.9 187659362.7
Kurtosis -4.946915237 -5.389659082
Skewness -0.182694533 -0.072192903
Range 39077 26662
Minimum 1780 1786
Maximum 40857 28448
Sum 94021 62952
Count 4 4
The descriptive statistics is performed for doing the evaluation which is a part of central
tendency. The mean, median and mode are the part of the procedure of central tendency
(Mollayeva, Mollayeva and Colantonio, 2018). 23505.25 is the average number of travelers who
have travelled across UK over the last 5 years from 2017 to 2020. Average revenue earned is £

15738. The median value is the information in half. The median quality of the information index
is 25692 and 16359. Standard deviation is the proportion of dispersion. From the value of mean
of the number of travelers the level of standard deviation is 20070.11. In addition, the revenue
earned is 13698.88 which the value deviates from the mean.
Regression Statistics
Multiple R 0.997237
R Square 0.994482
Adjusted R Square 0.991723
Standard Error 1246.275
Observations 4
ANOVA
df SS MS F Significance F
Regression 1 559871684.1 5.6E+08 360.4629 0.002763
Residual 2 3106403.875 1553202
Total 3 562978088
Coefficie
nts
Standard
Error t Stat P-value
Lower
95%
Upper
95%
Lower
95.0%
Upper
95.0%
Interce
pt -261.217
1048.05958
2
-
0.2492
4
0.8264
36 -4770.65
4248.21
9 -4770.65 4248.219
41080 0.680666
0.03585118
9
18.985
86
0.0027
63 0.52641
0.83492
1 0.52641 0.834921
The value of multiple R represents correlation coefficients. The machining value for
multiple R is 0.997. Representing the relationship between information indicators is very high.
The value of R square denoted the influence of one factor on the other and here the value is
0.994 which means there are high chances of influence of travelling on the revenue which has
been earned in the tourism sector (Oliveira, Araujo and Tam, 2020). Importance of shows the
significance of the connection between the two factors in the measure. The meaning of
significance value is very much as it tells about the independence of one factor on the other.
Importance F shows the significance of the connection between the two factors in the measure.
The Summary output of the data collected is generated by using the excel functions of data
analysis which helps is directly generating the output of descriptive statistics as well as
regression analysis.

Visualisation of Data
Year 2017 Year 2018 Year 2019 Year 2020 Year 2021
0
5000
10000
15000
20000
25000
30000
35000
40000
45000
Travellers to UK Revenue earned
The graph above pictures information on the number of tourist in UK in the time period of
5 years and the revenue earned in total in those year with effect from the tourism in UK. It
obviously demonstrates that the connection between the two factors is fluctuating (Peng and
et.al., 2018). There is no reasonable immediate or circuitous connection between the two
datasets. Patterns between changes in a single variable can't anticipate changes in another
variable.
Conclusion for the analysis.
On the basis of the above figures and evaluation, it can be concluded that the in the year
2020 and 2021 the travelling decreased a lot which has put a deep impact on the revenue of UK
which is earned by the tourism sector. As the environment of the whole world was deeply
affected by the constraint of COVID – 19, due to which it declined the number of visitors as
everything was completely shut by the government especially overseas entry were banned.
Although, it can be evaluated that there is high correlation between both the variables and the
revenue is highly dependent on the travelling people (Rather, 2020).
Working of assemble and future changes that can be taken
The entire task is first partitioned in the collection to keep track of the information.
Different alternative sources are considered for finding information. To find the most important

information, we chose to consider only those from 2016 to the present. The conversation about
message selection ended with reflections on the evaluation of each part of the gathering. The
multi-angle thinking of each part ensures a strong input of each part. In the process of planning
to undertake the task, some wrong choices also appeared (Sun, Chen and Jiao, 2018).
Better work at gatherings is guaranteed by shaping mentoring relationships between
colleagues with better understanding and finding opportunities to understand parts of an isolated
career. Talk sessions are tracked by audit sessions to avoid any type of misjudgment in the
commitments of each part of the assignment. These meetings also help draw attention to the
qualities and shortcomings of individual individuals and give them an opportunity to address
them. Another advantage of working with a team is from other team members.
Issues confronted and the future upgrades in counter.
There are some problems with working in group gatherings. The dominance tendencies of
specific aggregated individuals lead to their control over dynamic interactions. Although special
measures were taken to guarantee feasible cooperation of each part, some important choices were
deeply influenced by several people. With so few grasps, other colleagues feel that their views
are rarely respected at gatherings. An important issue seen during risk preparation is party
conversations that turn out to be very tedious. The utilization of time in the whole message leads
to the reduction of opportunities for different parts. Individuals tend to be lethargic and try to
devote energy to different individuals on the team. Not only does teamwork provide different
benefits, but it also raises specific and significant problems that undermine the adequacy of
work. Sometimes, the job gets fired for something like this (Reddy, Moniruzzaman and
Aminabhavi, 2019).
Additional attempts to add support will be made later to ensure the selection is not affected
by almost anything. Generally speaking, working as a party will create stronger bonds between
individuals with equal support from each part. In this way, the central issue to remember in the
future is to expand collaboration among all colleagues. Main interests are not enough, but
support should be feasible cooperation. More successful support is more about the nature of the
results achieved.

CONCLUSION
The significance of environmental effect on the tourism sector has been highlighted as a
result of the initiative. The travellers contribute much to the GDP of the nation. The project's
goal has been accomplished effectively. Quantitative research was chosen as the research
method. On the basis of the report, the relationship between the traveling number of individuals
and the revenue earned for the tourism sector in UK has been collected and evaluated. The study
ascertains that regression analysis and descriptive statistics are important in analysing the
relationship between two variables.

REFERENCES
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