Quantitative Business Analysis
4 to 5 pages with excel
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample)
8
MTH
4
10
Guide to Writing with Statistics
CSU-Global Campus
October,
2
014
Introduction
The purpose of this paper is to provide some general guidance in the writing of papers using statistics and associated tests. The paper provides some general tips for writing and the use of statistics. An example prompt is included, followed by a sample paper.
General Tips for Writing a Math Paper:
· Organization:
· Turn your prompt into headings for paper sections. This will help you to make sure you include all of the required information and analysis. It also helps the reader identify the material.
· Your paper needs:
· A separate title page using APA style requirements (running header, page numbers, course, instructor, your name, date, etc.).
· An introduction
(often a summary or abstract of the problem).
· A body of the paper that answers the questions posed in the problem and includes calculations and graphs associated with this problem. This is where you can turn your prompt into headings. All references need to be cited properly.
· A conclusion paragraph that addresses your findings and what you have deter
min
ed from the data and your analysis.
· A separate page for references.
· There are templates that use APA style into which you can insert your material. If you really struggle with formatting, this may be an option for your first paper or two. If you use a template, remember to double-check it to remove any extra instructions or pages or other elements that weren’t used.
· In general, numbers less than 10 are to be written in word form. However, if you have numbers in this
range
that carry decimals, write them in numeral form.
· Never use or interpret a statistic or test that you don’t fully understand.
· Target your audience and present as much information as necessary to allow the reader to make an independent interpretation.
· Make use of graphs and tables to display information in an easily understood manner. Format them the same throughout, and make sure you don’t manipulate axes.
· If you are referring to a statistic that is less commonly used, explain how you calculated it. (It is not necessary to explain
mean
, but it may be necessary to explain how you set up an ANOVA test.)
· Be clear about your sample and its corresponding population.
· Be direct in writing descriptive statistics (The mean in Group A is 22.
9
units.).
· Translate the meaning of the statistic for the reader. Write plainly and then back it up with statistical evidence. For example: Men and women scored equally well on this study (t = 0.2
5
, p < 0.01).
· For additional resources see the
CSU-Global Guide to Writing and APA Requirements
or visit
https://owl.english.purdue.edu/owl/owlprint/
6
7
2/
Running head: GUIDE TO WRITING WITH STATISTICS 1
GUIDE TO WRITING WITH STATISTICS 2
Prompt for Sample Paper:
Critical Thinking: Heavenly Chocolates
Website transactions are an important segment of sales and distribution today. Heavenly Chocolates manufactures and sells quality chocolates at its plant and retail store in Bozeman, MT. Three years ago, the company developed a website and began sales on the internet. Website sales have exceeded expectations, and management is now considering strategies to continue to increase its sales. To learn more about its sales, Heavenly Chocolates selected a sample of
50
random transactions from its previous month’s sales. The transaction data shows the day of the week the purchase was made, the type of browser used in the transaction, the time spent on the website, the number of website pages viewed, and the amount spent by the customer. The data is shown in a file named Chocolate.
Heavenly Chocolates would like to determine if time spent on the website or the number of pages viewed influences the total purchase. They would also like to examine any effect that day of the week and browser type have on sales.
Managerial Report
Prepare a report (see below) using the numerical methods of descriptive statistics presented in this module to learn how the variables contribute to the sales of chocolate. Be sure to include the following four items in your report.
1. Descriptive statistics (mean,
median
, range, and standard deviation) for each of the three variables, along with an explanation of what the descriptive statistics tell us about the sales.
2. A breakdown using descriptive statistics examining the effect of days of the week on sales. Evaluate the results.
3
. A breakdown using descriptive statistics examining the effect of browser type on sales. Evaluate the results.
4. Descriptive statistics (correlation coefficient) showing the relationship between sales (in dollars), and each of the other two variables. Evaluate the relationships between sales (in dollars) and each of the other variables (time spent and pages visited). Use tables, charts, graphs, or visual dashboards to support your conclusions. Make recommendations for continuing to develop sales to the management.
Write a report that adheres to the Written Assignment Requirements under the heading “Expectations for CSU-Global Written Assignments” found in the
CSU-Global Guide to Writing and APA Requirements
. As with all written assignments at CSU-Global, you should have in-text citations and a reference page.
Your report must contain the following:
· A title page
· An introduction
· A body of the paper that answers the questions posed in the problem and calculations and graphs associated with this problem.
· A conclusion paragraph that addresses your findings and what you have determined from the data and your analysis.
· A reference page.
Submit your Excel file in addition to your report.
Note: Prompt adapted from the “Heavenly Chocolate Website Transactions Case Problem 4,” D. Anderson, D. Sweeney, T. Williams, J. Camm, & J. Cochran, 2015, Essentials of statistics for business and economics. (7th ed.), p.
16
7,1
68
.
GUIDE TO WRITING WITH STATISTICS 3
GUIDE TO WRITING WITH STATISTICS 4
The following pages contain the sample paper corresponding to the prompt written above. Read through it for ideas on how to write your own papers.
Heavenly Chocolates Web Sales Analysis
Student Name
MTH410 – Quantitative Business Analysis
Colorado State University–Global Campus
Instructor Name
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample) 1
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample) 5
Date
Heavenly Chocolates Web Sales Analysis
Website transactions are an important segment of sales and distribution today. Any business developing a market for online sales would be wise to analyze data from both the general marketplace and its own specific customer segment. Analysis of this data can provide insight into further development of sales. Heavenly Chocolates data-mined their transactions for the previous month to gather a random sample of 50 customer transactions. The sample recorded the day of the week the purchase was made, the type of browser used in the transaction, the time spent on their website, the number of website pages viewed, and the amount spent by the customer. The purpose of this analysis is to determine if the time spent on the website or the number of pages viewed influences the total purchase. The impact on sales of day of the week and browser type will also be studied.
Overview of Online Sales
The 50 customers sampled spent a total of $
3,40
6.4
1
in the previous month. This is an average of $
6
8.1
0 per customer. The purchases ranged from a $
1
7.8
0 to $
158.5
0. The average customer spent
12
.8
minutes on the website. Time spent on the website ranged from
4.3
minutes to
32.9
minutes. The typical customer viewed almost five pages, with two as the minimum and ten as the
max
imum. The data set is summarized below in
Table 1
.
Table 1
Summary of Online Sales Sample
Time (min)
Pages Viewed
Amount Spent ($)
4.8
68.1
11
.4
4.5
6
2.2
std dev
6.1
3
2.3
2
17.8
Table 1
Summary of Online Sales Sample (Continued)
| Pages Viewed | ||||||||||||||||
| max | 32.9 | 10 | 158.5 | |||||||||||||
| range |
28.6 |
8 |
140.7 |
|||||||||||||
|
SUM ($) |
3406.41 |
Note: Data compiled from the “Heavenly Chocolate Website Transactions Case Problem 4,” D. Anderson, D. Sweeney, T. Williams, J. Camm, & J. Cochran, 2015, Essentials of statistics for business and economics. (7th ed.), p. 167,168.
Impact of Day of the Week on Sales
The daily sales breakdown reveals some interesting patterns.
Sun
day is the lowest sales day, from the perspective of both total sales ($
2
18.1
5
) and average sales ($
43.6
0).
Mon
day and
Fri
day were the best days in terms of overall sales performance. Monday had the highest mean (average) sales at $
90.4
0, while Friday had the highest total sales at $
945.43
for roughly 28% of the sample total. See
Table 2
for a complete breakdown of the impact of the day of the week on amount spent, time spent on the website, and number of pages viewed.
Table 2
Breakdown of Sales by Day of the Week
| Sun | Mon |
Tues |
Wed |
Thurs |
Fri |
Sat |
Total |
|||||||||||||||||||
|
Total Sales |
||||||||||||||||||||||||||
| 43.6 | 90.4 |
59.3 |
57 |
58.8 |
85.9 |
54.1 |
||||||||||||||||||||
|
37.2 |
10 4.2 |
6 7.4 |
53.4 |
59.2 |
70.4 |
55.6 |
||||||||||||||||||||
|
43.5 |
14.6 |
24.5 |
30.4 |
33.9 |
17.7 |
|||||||||||||||||||||
|
32.7 |
26.7 |
39.1 |
5 2.1 |
27 .9 |
||||||||||||||||||||||
|
64.2 |
74.4 |
94.9 |
91.6 |
15 5.3 |
78.6 |
|||||||||||||||||||||
|
31.4 |
131.8 |
35.4 |
7 3.8 |
103.2 |
50.7 |
|||||||||||||||||||||
|
count |
5 | 9 | 7 | 6 | 11 | 50 |
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample) 2
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample) 3
Table 2
Breakdown of Sales by Day of the Week (Continued)
| 218.15 |
8 13.3 8 |
414.86 |
341.82 |
294.03 |
945.43 |
378.74 |
3,406.41 | |||||
|
Time Spent |
||||||||||||
|
15.3 |
12.7 |
12.4 |
10.9 |
12.3 |
13.2 |
|||||||
|
11.7 |
13.3 |
10.6 |
12 | 8.1 |
9.7 |
|||||||
| 2.2 | 7.4 |
7.1 |
7.8 | |||||||||
|
7.3 |
6.2 |
|||||||||||
|
14.3 |
30.1 |
24.7 |
19.5 |
23.3 |
18.1 | |||||||
|
6.3 |
22.8 |
16.9 |
14.5 |
17.1 |
12.1 |
|||||||
| 4.2 | 6.4 | 4 | 3.8 | 5.3 | ||||||||
|
1.9 |
2.1 |
1.5 |
2.3 |
1.1 |
||||||||
| 3 | ||||||||||||
Note: Data compiled from the “Heavenly Chocolate Website Transactions Case Problem 4,” D. Anderson, D. Sweeney, T. Williams, J. Camm, & J. Cochran, 2015, Essentials of statistics for business and economics. (7th ed.), p. 167,168.
By almost every measure, Monday is the best day for sales. Friday follows closely (see Table 2). It makes logical sense to recommend that the marketing department develop advertising targeted for Monday and Friday. Weekends are subpar, and midweek statistics are nearly equivalent. Targeting sales or special packages for midweek may produce some increased traffic. If these recommendations are implemented, follow-up analysis is recommended to see if the desired results are being produced.
Impact of Browser on Sales
There were also sales differences revealed by breaking the data down by browser type. Customers using
Internet Explorer
to complete their transactions accounted for the highest total sales at $1,656.81; however, this value was achieved on volume (see Table 3). Internet Explorer had the lowest average sale at $
61.36
, while
Firefox
customers averaged $
76.8
0 per transaction. Table 3
Breakdown of Sales by Browser
| Firefox | Internet Explorer |
Other |
|
| 76.8 | 61.36 |
74.5 |
|
| 68 | |||
|
38.9 |
29.2 |
24.6 |
|
|
52.2 |
|||
|
126.4 |
120.3 |
||
|
130.6 |
108.6 |
||
| 16 | 27 | ||
|
1,228.21 |
1,656.81 |
521.39 |
3,406.41 |
Note: Data compiled from the “Heavenly Chocolate Website Transactions Case Problem 4,” D. Anderson, D. Sweeney, T. Williams, J. Camm, & J. Cochran, 2015, Essentials of statistics for business and economics. (7th ed.), p. 167,168.
The opportunity here is to target premium packages for advertising specific to Firefox. Value packages could be created for advertising specific to Internet Explorer. This promotion should be combined with the recommendations given regarding days of the week and subjected to a follow-up analysis to check for results.
Relationship between Amount Spent and Website Use
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample) 4
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample) 5
The other feature of this analysis is to evaluate the relationship between amount spent by customers and how much time they spent on the website with the additional variable of number
of pages viewed also taken into account. For this, a correlation analysis was performed. The correlation coefficient between time spent on the website and amount spent in dollars was moderately positive (r = 0.58). A similar moderately positive correlation coefficient (r = 0.60) was found between the variables of time spent on the website and number of pages visited. The strongest correlation was found between number of pages viewed on the website and amount spent. This correlation coefficient (r = 0.72) approaches a strong positive correlation (see Figure 1). This suggests that there may be some merit in trying to guide customers to view more pages.
Figure 1. Relationship Between Pages Viewed and
Dollars Spent
. Data compiled from the “Heavenly Chocolate Website Transactions Case Problem 4,” D. Anderson, D. Sweeney, T. Williams, J. Camm, & J. Cochran, 2015, Essentials of statistics for business and economics. (7th ed.), p. 167,168.
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample) 6
A common tactic is to guide customers to pages that have also been viewed by other customers viewing the product on the current page. Another suggestion is to pair pages and suggest that customers who purchased the product on the current page also frequently purchased a product on the linked page. As with previous suggestions, follow-up analysis should be performed to check results. On a cautionary note, this can be overdone. The statement from
Essentials of Statistics for Business and Economics that correlation is a measure of linear association and not causation should also be duly noted (Anderson, et al., 2015).
Conclusion
The analysis of this sample of 50 random customer transactions revealed several items to be used in the development of continued growth at Heavenly Chocolate. There is positive correlation between all three variables, but the strongest correlation is between number of pages viewed and amount of sales. There is adequate reason to pursue linking pages and making suggestions for customer purchasing. Monday and Friday are the best sales days. Firefox customers spend the most, but Internet Explorer customers provide the highest volume. Packaging and marketing strategies can be developed using this information. This analysis validates the use of statistical tools to provide insight into new strategies. Follow-up analysis is also mandated to find out if the strategies are producing results.
HEAVENLY CHOCOLATES WEB SALES ANALYSIS (Sample) 7
References
Anderson, D.R., Sweeney, D.J., Williams, T.A., Camm, J.D., & Cochran, J.J. (2015). Essentials of statistics for business and economics. (7th ed.). Stamford, CT: Cengage Learning.
Amount Spent ($) 4 6 4 2 4 6 2 6 3 7 6 5 7 10 3 4 7 7 4 5 5 6 3 2 3 2 5 4 10 9 2 8 4 3 5 5 4 4 2 5 4 7 4 7 6 4 2 5 6 3 54.52 94.9 26.68 44.730000000000011 66.27 67.8 36.04 55.960000000000008 70.940000000000026 68.73 54.040000000000006 48.05 64.16 158.51 84.11999999999999 59.2 91.61999999999999 126.4 68.45 32.690000000000012 78.58 74.430000000000007 32.730000000000011 48.660000000000011 54.660000000000011 40.54 34.690000000000012 27.910000000000004 155.30000000000001 120.25 41.2 134.4 37.17 52.09 71.81 59.99 84.169999999999987 55.58 39.06 36.480000000000004 67.440000000000026 60.14 70.38 110.64999999999999 104.23 68.169999999999987 17.840000000000003 103.14999999999999 52.150000000000006 98.75
Pages Viewed
Dollars Spent
>Data
s
List Price in K Sale Price in K Days to Sell . 0
. .1
.2
.5
.9
.3
.1
.7
.8
.9
52 .1
28 .2
30 39 .7
.2
24 .5
.8
.7
51 .3
.9
29 .9
.7
.1
.1
23 .3
17 30 15 .1
40 .9
.9
15 .2
31 .5
46 9.2 27 .4
.4
20 58 24 19 5 .2
30 9 58 43 11 44 .6
36 55 24 .9
31 22 .3
.8
51 56 .9
21 28 39.7 17 .8
47 35 19 .3
88 18 5.3 15 46 36 47 8 21 33.1 42 45 24 5 .5
25 21 44 40 39.6 55 6 67 50 16.2 47 16 15 22 46 40 .1
.8
52 8.6 13 73 22 28 15 37 7.2 30 32 15 22 27 28 16 46 .7
4 4.2 45 43 37 9 40 .6
61 43 50 45 25 .1
23 58 38 78.6 66 58 61 35 18.3 18 75.3 44 10.1 20 23 11 23 22.5 4 49 57 36.6 50 82.2 66 18 .6
24 28 16 .2
.5
62 30 33 51 25 49 5 34 33.8 27 29.5 55 75.8 74 19 17 35 22 49 64 29 35 63.8 50 38.2 36 50 6 37 28 64 57 47 11 .1
.1
50 8.7 19 75 38 14 17 31 9 39.6 36.4 13 18.3 33 63.8 23 41 59 24 9.2 49 27 7 13.1 21 54 25 34.3 49 31.2 9 71.2 16 42 29.5 25.4 47 21.6 7 38 12.6 9.5 39 39 14 16 48 60 4 24.5 56 17.1 12 3.9 34 79.8 45 5 4.8 31 89 56 58.3 30 35 39 18 15.5 51 45.6 42.7 9 21 34.9 18 8 34.2 47 52.2 18 17 12 28 4.9 3.3 26 18 15.5 51 18 50 19 20.9 48 45.6 47 32.1 6 46.4 41 19 14.4 35 51.8 49 54 4.4 4 27 60 39 21 54.3 57 21 43 25 25 32.5 30.5 67 52.8 62 43 3 25.7 62 9.5 65 29 14 28 50.1 48.7 45 45 41 65 36 48.6 43.6 63 35 25.7 55 68 28 37 50 50.8 14 25.7 31 12 51 4.9 1.3 57 65 64.2 30 29 50 58.3 57 45 60 8.6 4.6 62 11 40 37 33 24 23.9 5 3.9 3 20 79.1 53 19.3 54 31 36 23 66 24 33.8 51 31 67.4 66.3 17 8.6 3.8 60 24 21 19 38.3 35.1 60 10 8.8 49 49.1 49 36.4 36.4 11 6 46 63.3 38 32.7 28 44 33 11.9 11 11 41 10 8.7 5.5 17 25 13.5 33 27 18.3 12 60 56 3.8 3 37 81.3 62 53 5.4 1.7 55 22.2 53 9 6.4 61 29 29 16 66 12.4 54 27.3 3 8 67 14 70 84.1 44 59 55 60 15 18.7 40 51.7 51.4 38 28.4 37 79 33 46.5 69 50 46.1 10 59.9 10 30.5 29 35.6 33 47 45 59.1 17 34.4 33.6 60 17.4 67 32 43 32.1 31.2 54 22.8 43 41.1 38.1 54 16.2 56 59 9 4.2 28 13.6 62 63.8 59.4 46 43 45 5.3 54 56 52.8 51.8 48 35.6 32.6 53 42.1 39.6 22 25 9 9.6 7.2 58 8.8 4.4 50 59 39.5 26 48 30 20.4 19.4 23 67.3 63 11 60.3 59 22 29 25 65 68 68 13.9 49 65 61.3 66 18.2 35 11.3 9 4 54.9 67 37.5 32.9 22 78.8 67 30 10.5 8.4 17 62.8 58.2 28 21.7 17.8 24 71.8 59 7.9 7.1 29 53 34 71.8 67.3 46 22.4 23 65 62.8 58.3 18 11 8 75 28 20.7 18 11 50.8 46.4 41 16 43 24.7 22.6 15 41 11 73.9 14 56.9 50 79.1 15 60.3 13 87 56 56.9 42 55 54.3 71 20 17 13 24.7 22.4 57 18.2 5 4.8 2.3 39 25.5 20.9 53 81.8 14 50 15 83.5 19 73.1 70.8 41 85.7 81 39 18.5 15.7 54 40.8 51 4 53.5 56 69 26 6.5 5.5 41 57.8 15 79.1 29 18.7 13 12.2 1 21.9 19 1 1.1 0.8 2 9.4 8.6 2 5 4 14 34.9 32.6 5 8 4.9 30 21.9 13 27 22 18 12 14.8 11.9 11 11.7 1 54.4 53.6 15 5.2 3.8 3 100 14.3 7 11.5 7.6 14 >Data
s
List Price in K Sale Price in K Days to Sell . 0
. .1
.2
.5
.9
.3
.1
.7
.8
.9
52 .1
28 .2
30 39 .7
.2
24 .5
.8
.7
51 .3
.9
29 .9
.7
.1
.1
23 .3
17 30 15 .1
40 .9
.9
15 .2
31 .5
46 9.2 27 .4
.4
20 58 24 19 5 .2
30 9 58 43 11 44 .6
36 55 24 .9
31 22 .3
.8
51 56 .9
21 28 39.7 17 .8
47 35 19 .3
88 18 5.3 15 46 36 47 8 21 33.1 42 45 24 5 .5
25 21 44 40 39.6 55 6 67 50 16.2 47 16 15 22 46 40 .1
.8
52 8.6 13 73 22 28 15 37 7.2 30 32 15 22 27 28 16 46 .7
4 4.2 45 43 37 9 40 .6
61 43 50 45 25 .1
23 58 38 78.6 66 58 61 35 18.3 18 75.3 44 10.1 20 23 11 23 22.5 4 49 57 36.6 50 82.2 66 18 .6
24 28 16 .2
.5
62 30 33 51 25 49 5 34 33.8 27 29.5 55 75.8 74 19 17 35 22 49 64 29 35 63.8 50 38.2 36 50 6 37 28 64 57 47 11 .1
.1
50 8.7 19 75 38 14 17 31 9 39.6 36.4 13 18.3 33 63.8 23 41 59 24 9.2 49 27 7 13.1 21 54 25 34.3 49 31.2 9 71.2 16 42 29.5 25.4 47 21.6 7 38 12.6 9.5 39 39 14 16 48 60 4 24.5 56 17.1 12 3.9 34 79.8 45 5 4.8 31 89 56 58.3 30 35 39 18 15.5 51 45.6 42.7 9 21 34.9 18 8 34.2 47 52.2 18 17 12 28 4.9 3.3 26 18 15.5 51 18 50 19 20.9 48 45.6 47 32.1 6 46.4 41 19 14.4 35 51.8 49 54 4.4 4 27 60 39 21 54.3 57 21 43 25 25 32.5 30.5 67 52.8 62 43 3 25.7 62 9.5 65 29 14 28 50.1 48.7 45 45 41 65 36 48.6 43.6 63 35 25.7 55 68 28 37 50 50.8 14 25.7 31 12 51 4.9 1.3 57 65 64.2 30 29 50 58.3 57 45 60 8.6 4.6 62 11 40 37 33 24 23.9 5 3.9 3 20 79.1 53 19.3 54 31 36 23 66 24 33.8 51 31 67.4 66.3 17 8.6 3.8 60 24 21 19 38.3 35.1 60 10 8.8 49 49.1 49 36.4 36.4 11 6 46 63.3 38 32.7 28 44 33 11.9 11 11 41 10 8.7 5.5 17 25 13.5 33 27 18.3 12 60 56 3.8 3 37 81.3 62 53 5.4 1.7 55 22.2 53 9 6.4 61 29 29 16 66 12.4 54 27.3 3 8 67 14 70 84.1 44 59 55 60 15 18.7 40 51.7 51.4 38 28.4 37 79 33 46.5 69 50 46.1 10 59.9 10 30.5 29 35.6 33 47 45 59.1 17 34.4 33.6 60 17.4 67 32 43 32.1 31.2 54 22.8 43 41.1 38.1 54 16.2 56 59 9 4.2 28 13.6 62 63.8 59.4 46 43 45 5.3 54 56 52.8 51.8 48 35.6 32.6 53 42.1 39.6 22 25 9 9.6 7.2 58 8.8 4.4 50 59 39.5 26 48 30 20.4 19.4 23 67.3 63 11 60.3 59 22 29 25 65 68 68 13.9 49 65 61.3 66 18.2 35 11.3 9 4 54.9 67 37.5 32.9 22 78.8 67 30 10.5 8.4 17 62.8 58.2 28 21.7 17.8 24 71.8 59 7.9 7.1 29 53 34 71.8 67.3 46 22.4 23 65 62.8 58.3 18 11 8 75 28 20.7 18 11 50.8 46.4 41 16 43 24.7 22.6 15 41 11 73.9 14 56.9 50 79.1 15 60.3 13 87 56 56.9 42 55 54.3 71 20 17 13 24.7 22.4 57 18.2 5 4.8 2.3 39 25.5 20.9 53 81.8 14 50 15 83.5 19 73.1 70.8 41 85.7 81 39 18.5 15.7 54 40.8 51 4 53.5 56 69 26 6.5 5.5 41 57.8 15 79.1 29 18.7 13 12.2 1 21.9 19 1 1.1 0.8 2 9.4 8.6 2 5 4 14 34.9 32.6 5 8 4.9 30 21.9 13 27 22 18 12 14.8 11.9 11 11.7 1 54.4 53.6 15 5.2 3.8 3 100 14.3 7 11.5 7.6 14
2
Domestic
Car
Foreign Cars
Car
List Price in K
Sale Price in K
Days to Sell
1
9
8
3
4
3
6
7
34
39
2 34
30
5
52
51
26
3
23
19
48
11
9.6
27
4
29
28
12
48.1
45
5
26.7
24
6.8
4.5
53
6
31
31.2
7.5
6.5
7
22
20
71
70
59
8 8 4
42
21
2
1.7
9
18
14
5
9.5
59.1
40
10
43
42.9
16
19.1
17
15
11
49
47
67
64
46
12
8.7
5.4
7
9.2
7
6.1
62
13
23.2
18.3
29.3
2
4.9
32
14
1
7.1
13.4
69
66
55
15
1
5.3
14.5
63
58
16
39.7
35
54
51.2
17
12.4
61
56
18
4
2.3
40.3
7
0.8
69.8
19
25
2
4.2
29.2
2
8.4
20
36
3
4.8
26.6
2
3.9
44
21
13.9
12.1
37
11.7
22
18.7
15.6
12.2
8.5
23
39.5
36.6
51.6
50
24 23
22.1
4
8.8
48.4
25 32 31 40
33
32.4
26
34.9
3
3.1
82
77
27
43.6
39.2
75
71.8
28
6.9
4.7
44.1
29 43.6
41
30.5
27.7
30 12 9.6 44
56.5
52.3
31 8.7 6.1 13
88
32
7.2
51.8
50.8
33
39.6
25.7
21.6
34
16.5
16.2
34.2
35
43.9
40.8
75.8
75.3
36
4
7.6
46.2
7
5.5
73
37
2
1.3
38
29.5
26.9
66.2
39
1
8.6
40
46.6
60
50.2
46.1
41 8 6.1 14
85
83
42
11.2
71.2
43
3
3.8
32.6
11.6
44
10.1
12.9
10.6
45 13.9
13.6
26.3
46 48.4
44.5
29.8
28.5
47
13.5
13.1
65
62.4
48
6.4
21.8
1
9.4
49
38.3
38.2
44.3
40.5
50
38.5
37.7
78
77.2
51
36.9
36.4
49.2
52
18.6
14.1
57
53.8
53 4.5 3.1 47 46.6
45.6
54
25.4
22.5
82.2
55
59.9
57.3
6
1.1
58.3
56 44 40.5 53
81
78.9
57
19.8
77.1
58
12.6
3
4.4
29.4
59 35
31.8
60
52.2
49.9
54.9
53.9
61
38.6
81.3
62 24
2
3.3
79
74
63 45 44.1 31
23.5
19.3
64
52.9
4
7.9
76
72
65 52.3
50.6
31.5
66
50.9
47.5
48.7
46.7
67 18.3
16.3
68
34.3
69
50.1
48.6
3
5.2
70
57.4
56.4
22.9
22.4
71 9.2 6.5 58
82.8
79.3
72 36.9
33.3
63.8
73
41.1
46.4
41.5
74
43.3
40.7
58.7
57.8
75
46.8
42.7
63.3
76
51.7
87
86
77
13.3
70.6
78 57.3
54.3
14.4
79
59.6
5
4.6
80
14.9
62.9
81
42.1
25.5
22.2
82
13.8
79.8
76.6
83
32.9
31.3
11.5
84
52.8
32.7
85
34.4
68.5
86
23.6
22.6
87 4.7 4 5
23.4
88 59
58.2
89
26.5
24.5
15.5
90
34.5
30.8
59.4
91
20.5
20.9
92
1.9
81.8
93
84.1
94
58.1
38.1
95
33.6
32.1
12.7
96
60.3
58.4
97
38.8
64.2
63.1
98
35.6
49.5
99
100
41.3
41.2
101
58.5
55.4
64.6
63.5
102
19.9
49.6
103
32.5
42.4
104
105
78.8
77.6
106
67.6
67.4
55.2
54.7
107
59.2
17.3
108
21.7
109
55.7
43.5
110
23.9
11.9
111
49.1
44.7
15.1
10.4
112
67.7
66.3
113
81.2
79.7
114
83.8
79.1
115
25.9
65.1
116
37.8
54.4
117
20.8
54.5
51.4
118
27.3
24.8
119
30.7
120
56.9
40.4
121
20.4
17.4
122
123
78.4
124
21.2
22.8
18.2
125
35.1
65.8
126
36.2
88.1
85.6
127
128
129
52.1
130
23.7
20.7
131
38.4
37.5
67.1
132
63.4
61.3
133
45.9
134
77.3
74.4
135
10.5
46.5
42.6
136
14.8
63.9
137
83.2
138
67.3
65.3
139
24.7
140
78.2
74.2
141
11.4
25.3
142
26.4
21.9
62.8
143
24.2
19.2
82.1
144
77.7
73.9
145
16.7
146
29.6
74.5
147
46.9
148
57.7
29.7
149
38.7
49.8
49.7
150
35.7
32.2
59.8
151
15.7
152
27.1
153
18.1
154
16.9
54.1
53.1
155
10.8
156
39.3
157
10.2
85.8
82.9
158
159
22.7
160
161
17.8
14.2
41.8
162
46.3
163
164
64.5
165
11.3
166
16.1
167
53.5
168
76.5
88.3
87.7
169
170
69.2
171
86.5
84.6
172
25.1
23.8
173
17.5
47.1
45.2
174
89.3
85.7
175
73.1
68.3
70.1
176
21.1
69.6
66.8
177
87.4
83.5
178
18.5
18.4
179
36.7
72.6
180
53.6
80.6
181
60.5
89.1
182
55.1
183
184
19.5
185
84.2
186
50.4
86.9
187
188
38.9
189
71.3
66.4
57.2
190
66.9
191
60.8
76.1
192
19.7
14.6
193
194
195
196
21.3
197
27.4
23.3
198
14.3
199
89.5
87.1
200
10.9
2
Domestic
Car
Foreign Cars
Car
List Price in K
Sale Price in K
Days to Sell
1
9
8
3
4
3
6
7
34
39
2 34
30
5
52
51
26
3
23
19
48
11
9.6
27
4
29
28
12
48.1
45
5
26.7
24
6.8
4.5
53
6
31
31.2
7.5
6.5
7
22
20
71
70
59
8 8 4
42
21
2
1.7
9
18
14
5
9.5
59.1
40
10
43
42.9
16
19.1
17
15
11
49
47
67
64
46
12
8.7
5.4
7
9.2
7
6.1
62
13
23.2
18.3
29.3
2
4.9
32
14
1
7.1
13.4
69
66
55
15
1
5.3
14.5
63
58
16
39.7
35
54
51.2
17
12.4
61
56
18
4
2.3
40.3
7
0.8
69.8
19
25
2
4.2
29.2
2
8.4
20
36
3
4.8
26.6
2
3.9
44
21
13.9
12.1
37
11.7
22
18.7
15.6
12.2
8.5
23
39.5
36.6
51.6
50
24 23
22.1
4
8.8
48.4
25 32 31 40
33
32.4
26
34.9
3
3.1
82
77
27
43.6
39.2
75
71.8
28
6.9
4.7
44.1
29 43.6
41
30.5
27.7
30 12 9.6 44
56.5
52.3
31 8.7 6.1 13
88
32
7.2
51.8
50.8
33
39.6
25.7
21.6
34
16.5
16.2
34.2
35
43.9
40.8
75.8
75.3
36
4
7.6
46.2
7
5.5
73
37
2
1.3
38
29.5
26.9
66.2
39
1
8.6
40
46.6
60
50.2
46.1
41 8 6.1 14
85
83
42
11.2
71.2
43
3
3.8
32.6
11.6
44
10.1
12.9
10.6
45 13.9
13.6
26.3
46 48.4
44.5
29.8
28.5
47
13.5
13.1
65
62.4
48
6.4
21.8
1
9.4
49
38.3
38.2
44.3
40.5
50
38.5
37.7
78
77.2
51
36.9
36.4
49.2
52
18.6
14.1
57
53.8
53 4.5 3.1 47 46.6
45.6
54
25.4
22.5
82.2
55
59.9
57.3
6
1.1
58.3
56 44 40.5 53
81
78.9
57
19.8
77.1
58
12.6
3
4.4
29.4
59 35
31.8
60
52.2
49.9
54.9
53.9
61
38.6
81.3
62 24
2
3.3
79
74
63 45 44.1 31
23.5
19.3
64
52.9
4
7.9
76
72
65 52.3
50.6
31.5
66
50.9
47.5
48.7
46.7
67 18.3
16.3
68
34.3
69
50.1
48.6
3
5.2
70
57.4
56.4
22.9
22.4
71 9.2 6.5 58
82.8
79.3
72 36.9
33.3
63.8
73
41.1
46.4
41.5
74
43.3
40.7
58.7
57.8
75
46.8
42.7
63.3
76
51.7
87
86
77
13.3
70.6
78 57.3
54.3
14.4
79
59.6
5
4.6
80
14.9
62.9
81
42.1
25.5
22.2
82
13.8
79.8
76.6
83
32.9
31.3
11.5
84
52.8
32.7
85
34.4
68.5
86
23.6
22.6
87 4.7 4 5
23.4
88 59
58.2
89
26.5
24.5
15.5
90
34.5
30.8
59.4
91
20.5
20.9
92
1.9
81.8
93
84.1
94
58.1
38.1
95
33.6
32.1
12.7
96
60.3
58.4
97
38.8
64.2
63.1
98
35.6
49.5
99
100
41.3
41.2
101
58.5
55.4
64.6
63.5
102
19.9
49.6
103
32.5
42.4
104
105
78.8
77.6
106
67.6
67.4
55.2
54.7
107
59.2
17.3
108
21.7
109
55.7
43.5
110
23.9
11.9
111
49.1
44.7
15.1
10.4
112
67.7
66.3
113
81.2
79.7
114
83.8
79.1
115
25.9
65.1
116
37.8
54.4
117
20.8
54.5
51.4
118
27.3
24.8
119
30.7
120
56.9
40.4
121
20.4
17.4
122
123
78.4
124
21.2
22.8
18.2
125
35.1
65.8
126
36.2
88.1
85.6
127
128
129
52.1
130
23.7
20.7
131
38.4
37.5
67.1
132
63.4
61.3
133
45.9
134
77.3
74.4
135
10.5
46.5
42.6
136
14.8
63.9
137
83.2
138
67.3
65.3
139
24.7
140
78.2
74.2
141
11.4
25.3
142
26.4
21.9
62.8
143
24.2
19.2
82.1
144
77.7
73.9
145
16.7
146
29.6
74.5
147
46.9
148
57.7
29.7
149
38.7
49.8
49.7
150
35.7
32.2
59.8
151
15.7
152
27.1
153
18.1
154
16.9
54.1
53.1
155
10.8
156
39.3
157
10.2
85.8
82.9
158
159
22.7
160
161
17.8
14.2
41.8
162
46.3
163
164
64.5
165
11.3
166
16.1
167
53.5
168
76.5
88.3
87.7
169
170
69.2
171
86.5
84.6
172
25.1
23.8
173
17.5
47.1
45.2
174
89.3
85.7
175
73.1
68.3
70.1
176
21.1
69.6
66.8
177
87.4
83.5
178
18.5
18.4
179
36.7
72.6
180
53.6
80.6
181
60.5
89.1
182
55.1
183
184
19.5
185
84.2
186
50.4
86.9
187
188
38.9
189
71.3
66.4
57.2
190
66.9
191
60.8
76.1
192
19.7
14.6
193
194
195
196
21.3
197
27.4
23.3
198
14.3
199
89.5
87.1
200
10.9
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