HERNANI BINTI MARIKAN
2022741801
QPSP4
FACULTY OF BUSINESS AND MANAGEMENT
DEGREE IN OFFICE SYSTEM MANAGEMENT (BA232)
MGT 555 BUSINESS ANALYTIC
INDIVIDUAL ASSIGNMENT
MINI PROJECT 2:
DATA SET 2 SHOPEE WEBSITE VISITOR
PREPARED FOR:
HJH NURNAZIRAH BT JAMADIN
PREPARED BY:
HERNANI BINTI MARIKAN (2022741801)
SUBMISSION DATE:
30 JANUARI 2025
HERNANI BINTI MARIKAN
2022741801
QPSP4
I would like to express gratitude to Allah SWT, the Almighty God for the blessing,
kindness, and inspiration in lending us to accomplish this grouping assignment. Without Him,
I couldn’t stay patient and in control in producing this assignment from the first page to the last
page.
Second, Shalawat and Salam always dedicated to our beloved prophet Muhammad
SAW, our Muallim, the last prophet and the prophet who had brought us from the darkness to
the brightness. I realize that I cannot complete this grouping assignment without the aid of
others. It would be impossible to mention all of them who helped me to complete this
assignment.
We wish, however, to give my sincerest gratitude and appreciation to all people until
this grouping assignment can be completely finished. Therefore, my deepest appreciation
goes to Madam Hjh Nurnazirah bt Jamadin, whose guidance and expertise were invaluable
throughout this journey. Your constant support and insightful feedback shaped the trajectory
of this project in countless ways.
Special thanks again to Madam Hjh Nurnazirah bt Jamadin for her expert advice and
contributions, which were crucial in navigating the more challenging aspects of our project.
I would also like to acknowledge the support of family and friends for providing the
necessary resources and environment to conduct this project. The assistance from various
departments, particularly families and friends greatly facilitated our work.
To all other friends and colleagues who contributed to various capacities - your support
did not go unnoticed. Whether it was administrative assistance, technical support, or simply
words of encouragement, it all played a significant role in our journey.
Finally, I express my gratitude for entrusting me with this project. Your faith in my
abilities fuelled my motivation and ambition to deliver my best.
This project was not just a professional milestone but also a learning experience, and
the lessons I have learned will be invaluable for our future endeavours.
Thank you all for your contributions, big and small, which culminated in the successful
completion of this group assignment.
HERNANI BINTI MARIKAN (2022741801)
HERNANI BINTI MARIKAN
2022741801
QPSP4
MGT555
MINI PROJECT 2
DATA SET 2 SHOPEE WEBSITE VISITOR
Shopee is the leading e-commerce online shopping platform in southeast Asia and Taiwan. It
provides customers with an easy, secure and fast online shopping experience through strong
payment and logistical support. Shopee has a wide selection of product categories ranging
from consumer electronics to home & living, health & beauty, baby & toys, fashion, and fitness
equipment. As of 2021, Shopee is considered the largest e-commerce platform in Southeast
Asia with 343 million monthly visitors. Given this data, answer all questions.
QUESTION 1
Write hypothesis statement, compute ANOVA, and prepare full report for each of the following
sub-questions.
a. Is there any differences on the number of page loads among shoppe website visitor on
Friday, Saturday and Sunday?
Hypothesis Statement:
(i)
There is no statistical differences number of page loads between Friday, Saturday
and Sunday
(ii)
There is a statistical differences number of page loads between Friday, Saturday
and Sunday
RESULT
F-Test
624.8046
F>F
Critical
F-Critical
2.999874
P Value
0.00000052
Decision
REJECT HO
<0.05
HERNANI BINTI MARIKAN
2022741801
QPSP4
The total number of observations as reported in the table is 2,172 observations where Friday,
Saturday and Sunday is 724 respectively. As can be seen in the Annova statistical table, the
F value is 624.8046, F-Critical value is 2.999874 where F > Fcrit. The P value is 0.0000052.
The P value for this data is less than P < 0.05. Therefore, the decision for this data analysis is
reject Null Hypothesis.There is a statistical differences number of page loads between
Friday, Saturday and Sunday
b. Is there any differences on customer unique visits on shoppe website on Friday,
Saturday and Sunday?
Hypothesis Statement
(i)
There is no statistical differences on customer unique between Friday, Saturday
and Sunday
(ii)
There is a statistical difference on customer unique between Friday, Saturday and
Sunday
The total number of observations as reported in the table is 2,172 observations where Friday,
Saturday and Sunday is 724 respectively. As can be seen in the Annova statistical table, the
F value is 581.8818, F-Critical value is 2.999874 where F > Fcrit. The P value is 0.0000049.
The P value for this data is less than P < 0.05. Therefore, the decision for this data analysis is
reject Null Hypothesis.There is a statistical differences number of page loads between
Friday, Saturday and Sunday
HERNANI BINTI MARIKAN
2022741801
QPSP4
c) Is there any differences on the number of Shopee’s first time website visitor from Monday
to Sunday?
Hypothesis Statement
(i)
There is no statistical differences on the number Shopee’s first time from Monday to
Sunday
(ii)
There is a statistical difference on the number Shopee’s first time from Monday to
Sunday
The total number of observations as reported in the table is 5,068 observations where Monday
to Sunday is 724 respectively. As can be seen in the Annova statistical table, the F value
is980.3771, F-Critical value is 2.10038 F > Fcrit. The P value is 0. The P value for this data is
less than P < 0.05. Therefore, the decision for this data analysis is reject Null Hypothesis.
There is a statistical differences number of page loads between Friday, Saturday and
Sunday
HERNANI BINTI MARIKAN
2022741801
QPSP4
QUESTION 2
Write hypothesis statement, compute t test and prepare full report.
a. Is there any differences on the number of page loads among shoppe website visitor on
Friday and Saturday?
Hypothesis Statement
(i)
There is no significance differences of Page Loads among shoppe website on
Friday and Saturday
(ii)
There is a significance difference Page Loads among shoppe website on Friday
and Saturday
The T-statistic is positive 37.79, The P-Value is 0.00000082 where reject Null Hypothesis
because P is less than 0.05 and the result is significance. Therefore, there is a significance
difference Page Loads among shoppe website on Friday and Saturday
b. Is there any differences on customer unique visits on shoppe website on Tuesday and
Sunday?
Hypothesis Statement
(i)
There is no significance differences of customer unique visits on shoppe website
on Tuesday and Sunday
(ii)
There is a significance difference of customer unique visits on shoppe website on
Tuesday and Sunday
HERNANI BINTI MARIKAN
2022741801
QPSP4
The T-statistic is positive 37.22, The P-Value is 0.000000839 where reject Null Hypothesis
because P is less than 0.05 and the result is significance. Therefore, there is a significance
difference of customer unique visits on shoppe website on Tuesday and Sunday.
QUESTION 3
Write hypothesis statement, compute F test and prepare full report.
Is there any differences on the number of Shopee’s first time website visitor between Monday
and Saturday?
Hypothesis Statement
(iii)
There is no significance differences of the number of Shopee’s first time website
visitor between Monday and Saturday
(iv)
There is a significance difference of the number of Shopee’s first time website
visitor between Monday and Saturday
HERNANI BINTI MARIKAN
2022741801
QPSP4
The F-value is 1, the F critical value is 0.885 and the P-Value is 0.5 where fail to reject
Null Hypothesis because P is 0.5 greater than 0.05 and the result is not significance.
Therefore, there is no significance differences of the number of Shopee’s first time
website visitor between Monday and Saturday.
QUESTION 4
Select data from row 2 until row 29, prepare 4 weeks and overall trendline analysis chart
Which day shows highest number of visitors, and which day shows the lowest number of
visitors? Write a full report.
WEEK 1
HERNANI BINTI MARIKAN
2022741801
QPSP4
Data points (x,y) & number of observation
The report analyses date and price data consisting of 7 samples, with data points (x,y) and
the trendline chart shown above
Data Trend
The data trend of date and price is downward, indicating that number of visitors have
decrease over days in a week 1.
Linear Equation
The linear for this data is Y = a + bx, with an intercept of 3023.7 and a slope of 228.25.
Coefficient of Determination (R Square)
The coefficient of Determination (R-Square) value for this data is between 0 and 1. In this
case the R-square values is 0.7236, indicating that 72.36% of the data is accurately
represented by linear equation
Conclusion
In conclusion, the data analysis shows that as the days ended in a week, there is a
decreased in number of visitors
WEEK 2
HERNANI BINTI MARIKAN
2022741801
QPSP4
Data points (x,y) & number of observation
The report analyses date and price data consisting of 7 samples, with data points (x,y) and the
trendline chart shown above
Data Trend
The data trend of date and price is downward, indicating that number of visitors have decrease over
days in a week 2.
Linear Equation
The linear for this data is Y = a + bx, with an intercept of 3528.9 and a slope of 265.
Coefficient of Determination (R Square)
The coefficient of Determination (R-Square) value for this data is between 0 and 1. In this case the Rsquare values is 0.5468, indicating that 54.68% of the data is accurately represented by linear
equation
Conclusion
In conclusion, the data analysis shows that as the days ended in a week, there is a decreased in
number of visitors
HERNANI BINTI MARIKAN
2022741801
QPSP4
Data points (x,y) & number of observation
The report analyzes date and price data consisting of 7 samples, with data points (x,y) and the
trendline chart shown above
Data Trend
The data trend of date and price is downward,indicating that number of visitors have decrease
over days in a week 3.
Linear Equation
The linear for this data is Y = a + bx, with an intercept of 3359 and a slope of 243.71.
Coefficient of Determination (R Square)
The coefficient of Determination (R-Square) value for this data is between 0 and 1. In this case
the R-square values is 0.7961, indicating that 79.61% of the data is accurately represented by
linear equation
Conclusion
In conclusion, the data analysis shows that as the days ended in a week, there is a decreased in
number of visitors
HERNANI BINTI MARIKAN
2022741801
QPSP4
Data points (x,y) & number of observation
The report analyses date and price data consisting of 7 samples, with data points (x,y) and the
trendline chart shown above
Data Trend
The data trend of date and price is downward, indicating that number of visitors have decrease over
days in a week 4.
Linear Equation
The linear for this data is Y = a + bx, with an intercept of 3638.6 and a slope of 261.43.
Coefficient of Determination (R Square)
The coefficient of Determination (R-Square) value for this data is between 0 and 1. In this case the Rsquare values is 0.7623, indicating that 76.23% of the data is accurately represented by linear
equation
Conclusion
In conclusion, the data analysis shows that as the days ended in a week, there is a decreased in
number of visitors
HERNANI BINTI MARIKAN
2022741801
QPSP4
OVERALL ANALYSIS
1. Looking at Trends Over 4 Weeks
The data gathered over four weeks shows that the number of visitors has been steadily
decreasing. Here are the trendline formulae for each week:
In Week 1, the equation is Y = 3023.7 - 228.25X, and the value of R² is 0.7236.
Week 2: Y = 3528.9 - 265X R² = 0.5468
Week 3: Y = 3359 - 243.71X R² = 0.7961
Week 4: Y = 3638.6 - 261.43X R² = 0.7623
HERNANI BINTI MARIKAN
2022741801
QPSP4
The trendline from the scatterplot gives us the linear regression equation:
𝑌 = 2346.2 + 2.9595 𝑥 Y=2346.2+2.9595x
The intercept (2346.2) shows the predicted number of visitors at the beginning of the
observation period (Day 0). This figure sets the baseline for predicting visitor numbers.
The slope (2.9595) shows a small rise in the number of visitors for each extra day in the data.
The slope is positive, but it does not match the overall falling trend in the data. This implies
that the linear model may not fully represent how the data behaves.
2. Trend analysis based on chart.
The scatterplot shows that the number of visitors goes up and down on certain days. Even
with these changes, the data from the 27 reports shows that visitor numbers are going down
by Week 2. The linear trendline, however, shows a slight upward trajectory, which contradicts
the obvious downward trend in the scatterplot.
3. Coefficient of Determination ( 𝑅 2 R 2 )
The R² number for the trendline is 0.0014 (0.14%), which is very low. It interprets that the
trendline explains just 0.14% of the changes in visitor numbers.
HERNANI BINTI MARIKAN
2022741801
QPSP4
QUESTION 5
Compute correlation analysis based on the data. Identify independent variables (X) and
dependent variable (Y). Write a full report. Your result should be supported by correlation
interpretation table.
1. The table above shows a correlation analysis between Pages Loads, Unique Visits and
First-time visits. The total number of observations that were analysed in this data is 5068
Samples.
2. The significance value that were set for this data is at P <0.05
3. By looking to the correlation interpretation table, the correlation coefficient analysis shows
that there is a very strong correlation, between unique visits and page loads where r =
(0.988106981). Next is the correlation coefficient study shows that there is a very strong
correlation strong correlation, between unique visits and page loads where r =
(0.988106981). Next is the correlation coefficient analysis shows that there is a very strong
link between First time visits and page loads where r= (0.986961747). Thirdly, the
correlation coefficient study shows that there very strong correlation returning visits and
page loads where r = (0.830574305). In addition, the correlation interpretation table, the
correlation coefficient analysis shows that there is a very strong link, between first time
visits and unique visits where r = (0.99302759). Subsequently, the correlation coefficient
study shows that there is a very strong correlation between returning visits and unique
visits where r = (0.865291462). Finally, the correlation coefficient study shows a very
strong connection between returning visits and first-time visits, with a value of r =
0.80016761. This finding follows a common guideline for understanding correlation that is
used in schools and universities around the world.
QUESTION 6
Prepare a regression analysis. Write a complete report.
HERNANI BINTI MARIKAN
2022741801
QPSP4
REGRESSION STATISTIC
1. Number of observations
The number of samples analyzed in this model is 5068 observations
2. Multiple R (r)
The Correlation coefficient of this samples is r = 1
3.R square (Coefficient of Determination):
The value of R Square (Coefficient of Determination) Of this model reported as 1. This value
is strong fit proportion of the variability in the dependent variable. The value 1 shows 100% of
data are fit to the line. This means 100% of the variation in data of Shopee website visitors
can be explained by Page loads, unique visits, first time visits Shopee website visitors show a
strong relationship between page loads, unique visits and first time visits.
4.Standard error
The standard error of estimate of this model is 0.000000439.
ANOVA
The Anova is used to test the entire model. The significance value (p-value) is represented by
Significance F. The value of significance for this model is p = 0 which is less than p <0.5. This
HERNANI BINTI MARIKAN
2022741801
QPSP4
means the whole model is significance
COEFFICIENT AND WRITE EQUATION
Slope: The slope is less than 0 (Negative) where the coefficients value shows the first time
visit -1, Next slope is less than 0 (positive) where the coefficients value shows unique visits 1.
Lastly, slope is less than 0 (negative) where the coefficient value shows the page loads
0.000000444
P Value: The P value for first time visit and unique visits shows (0) which is significance. The
P-value for page load show 0.000000291 which is significance
Equation: The equation for this model is Y = a + bx were returning visits = -0.000000123 +
Page loads 0.000000444 + unique visits 1 - first time visit 1
CONCLUSION
In conclusion, the unique visits are strong fit proporation to 100%. The P value of unique visits
is p <0.05 which is significance. The decision is reject null hypothesis. There is a relationship
between unique visit on Shopee website visitors which is at strong fit.
TOTAL: 100 MARKS
HERNANI BINTI MARIKAN
2022741801
QPSP4
Appendix
Month
Total Sales(RM) in '000
3976770
11
9
7
5
3
1
3943420
3895860
4123800
0
1000000
2000000
3000000
3366320
3545250
4000000
Total Sales
4674510
4984230
6413060
6983490
5710680
6085650
5000000
6000000
7000000
8000000