(PDF) Business Analytics and Decision Making
Added on 2021-04-21
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Running head: BUSINESS ANALYTICS AND DECISION MODELLING
Business Analytics and Decision Modelling
Name of the Student:
Name of the University:
Author’s Note:
Business Analytics and Decision Modelling
Name of the Student:
Name of the University:
Author’s Note:
1BUSINESS ANALYTICS AND DECISION MODELLING
Table of Contents
1. Predicting Software Reselling Profits....................................................................................2
1.1. Exploratory Statistics:.....................................................................................................2
1.2. Scatter plot:.....................................................................................................................4
1.2.1. Freq vs. Spending scatter plot:.................................................................................4
1.2.2. Last Update vs. Spending scatter plot:.....................................................................5
1.3. Prediction of Spending:...................................................................................................5
1.3. A. Randomization of the samples and Preprocessing of categorical variables:..........5
1.3. B. Linear Regression Model:......................................................................................6
1.3. C..................................................................................................................................7
1.3. D..................................................................................................................................7
1.3. E..................................................................................................................................7
1.3. F...................................................................................................................................8
1.3. G..................................................................................................................................8
1.3. H..................................................................................................................................8
1.3. I...................................................................................................................................8
1.3. J...................................................................................................................................8
2. Housing Price Structure in “NOTAREAL” Township:.......................................................11
2.1. One sample t-test:..........................................................................................................11
2.2. One sample t-test:..........................................................................................................12
Table of Contents
1. Predicting Software Reselling Profits....................................................................................2
1.1. Exploratory Statistics:.....................................................................................................2
1.2. Scatter plot:.....................................................................................................................4
1.2.1. Freq vs. Spending scatter plot:.................................................................................4
1.2.2. Last Update vs. Spending scatter plot:.....................................................................5
1.3. Prediction of Spending:...................................................................................................5
1.3. A. Randomization of the samples and Preprocessing of categorical variables:..........5
1.3. B. Linear Regression Model:......................................................................................6
1.3. C..................................................................................................................................7
1.3. D..................................................................................................................................7
1.3. E..................................................................................................................................7
1.3. F...................................................................................................................................8
1.3. G..................................................................................................................................8
1.3. H..................................................................................................................................8
1.3. I...................................................................................................................................8
1.3. J...................................................................................................................................8
2. Housing Price Structure in “NOTAREAL” Township:.......................................................11
2.1. One sample t-test:..........................................................................................................11
2.2. One sample t-test:..........................................................................................................12
2BUSINESS ANALYTICS AND DECISION MODELLING
2.3. Two Sample and Independent Sample t-test:................................................................12
2.4. Transformation of level of Neighbourhood:.................................................................15
Annotated Bibliography:..........................................................................................................16
2.3. Two Sample and Independent Sample t-test:................................................................12
2.4. Transformation of level of Neighbourhood:.................................................................15
Annotated Bibliography:..........................................................................................................16
3BUSINESS ANALYTICS AND DECISION MODELLING
1. Predicting Software Reselling Profits
1.1. Exploratory Statistics:
US address vs. Spending
Out of 1000 samples, 167 customers dwell in US whose average spending is $213 with
standard deviation $201. Rest 833 customers who do not have US address have average
spending $204 with standard deviation $225.
Web Order vs. Spending:
Out of 1000 samples, 456 customers who did not place at least one order via web have
average spending $208 with standard deviation $223. Rest 544 customers who placed at least
one order via web have average spending $202 with standard deviation $219.
Gender vs. Spending:
1. Predicting Software Reselling Profits
1.1. Exploratory Statistics:
US address vs. Spending
Out of 1000 samples, 167 customers dwell in US whose average spending is $213 with
standard deviation $201. Rest 833 customers who do not have US address have average
spending $204 with standard deviation $225.
Web Order vs. Spending:
Out of 1000 samples, 456 customers who did not place at least one order via web have
average spending $208 with standard deviation $223. Rest 544 customers who placed at least
one order via web have average spending $202 with standard deviation $219.
Gender vs. Spending:
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