BIS 445 DeVry Week 5 I Lab
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<strong>BIS</strong> <strong>445</strong> <strong>DeVry</strong> <strong>Week</strong> 5 I <strong>Lab</strong><br />
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<strong>BIS</strong> <strong>445</strong> <strong>DeVry</strong> <strong>Week</strong> 5 i<strong>Lab</strong><br />
<strong>BIS</strong><strong>445</strong><br />
<strong>BIS</strong> <strong>445</strong> <strong>DeVry</strong> <strong>Week</strong> 5 i<strong>Lab</strong><br />
Predict sales patterns using simple linear regression<br />
Note! Submit your assignment to the Dropbox located on the silver tab at the top of this page. (See the Syllabus section<br />
"Due Dates for Assignments & Exams" for due dates.)<br />
Remember This! Connect to the i<strong>Lab</strong> here.<br />
iLAB OVERVIEW<br />
Scenario and Summary<br />
Joe Sanders scratched his head. He owned two Hungry Boy Subs franchises in a city. In an unusual arrangement, one<br />
of the franchises was located in the food court of the local mall. The other franchise was about two blocks down the<br />
street from the mall. The area in which Joe had purchased the franchises was in a new end of town, well-known for its<br />
good schools, professional offices, and well-kept neighborhoods. The area had been growing rapidly since Joe<br />
purchased the franchise about 10 months ago.<br />
Joe purchased the local mall's sub shop first, and found it to be immensely successful. Encouraged by the success of<br />
the food court shop, he went on to purchase a new franchise in a street vendor area up the street. Even though the two<br />
franchises were close together geographically, he felt they catered to different markets; one to mall employees and<br />
mall-goers, and another to passers-by who had no intention of going to the mall.<br />
Joe thought the sales patterns of his sales at the food court would help him forecast sales of his street location, and<br />
thus help him determine quantities of various products to order. Particularly, Joe wanted to forecast the number of<br />
drinks he would sell in each period and the percent of sales that are cold drinks.<br />
Therefore, Joe collected data from both franchises and decided to do an analysis to see if he could design a forecasting<br />
model for each location. He was also interested in analyzing buying patterns in both franchises to see if there were any<br />
similarities or differences. The data is found in DrinkSales.txt.<br />
Your task is to predict sales patterns using simple linear regression. You will import the comma delimited file into a SQL<br />
database table that has marketing research data on drinking patterns and perform some basic analyses on this data<br />
by creating a scatter plot. After you analyze this data you will use simple regression to try to predict drink patterns.<br />
Deliverables<br />
Submit the YourName_<strong>Lab</strong>5_Questions.docx to the <strong>Week</strong> 5 i<strong>Lab</strong> Dropbox.<br />
Section Deliverable Points<br />
Part A Import comma delimited file and create SQL 2008 table. 10<br />
Part B Create scatter plots on drink sales. 20
Part C Regression analyses on drink sales. 30<br />
iLAB STEPS<br />
Preparation<br />
Back to Top<br />
Download the <strong>Week</strong>5_<strong>Lab</strong>5_Questions.docx from DocSharing. You will answer the questions and provide screen prints<br />
as required for each part of the lab.<br />
Create a folder on your local drive named Transfer.<br />
Download the <strong>Week</strong>5_DrinkSales.txt file from DocSharing to your Transfer folder.<br />
Login to the Citrix remote lab.<br />
Follow the login instructions located in the i<strong>Lab</strong> tab in Course Home.