BIS 445 DeVry All Week I Labs

Final Deliverable
Lab 4 Student Answer Sheet
30
iLAB STEPS
Preparation
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Download the Week4_Lab4_Questions.docx from DocSharing. You will answer the questions and provide screen prints
as required for each part of the lab.
Read the scenario and translate the requirements into specifications.
Connect to iLab.
Connect to BIS445SQL data source.
Connect to Coffee Merchant database.
Part A: Set up data by writing SQL script
STEP 1: Problem Description
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BIS 445 DeVry Week 5 iLab
Predict sales patterns using simple linear regression
Note! Submit your assignment to the Dropbox located on the silver tab at the top of this page. (See the Syllabus section
"Due Dates for Assignments & Exams" for due dates.)
Remember This! Connect to the iLab here.
iLAB OVERVIEW
Scenario and Summary
Joe Sanders scratched his head. He owned two Hungry Boy Subs franchises in a city. In an unusual arrangement, one
of the franchises was located in the food court of the local mall. The other franchise was about two blocks down the
street from the mall. The area in which Joe had purchased the franchises was in a new end of town, well-known for its
good schools, professional offices, and well-kept neighborhoods. The area had been growing rapidly since Joe
purchased the franchise about 10 months ago.
Joe purchased the local mall's sub shop first, and found it to be immensely successful. Encouraged by the success of
the food court shop, he went on to purchase a new franchise in a street vendor area up the street. Even though the two
franchises were close together geographically, he felt they catered to different markets; one to mall employees and
mall-goers, and another to passers-by who had no intention of going to the mall.
Joe thought the sales patterns of his sales at the food court would help him forecast sales of his street location, and
thus help him determine quantities of various products to order. Particularly, Joe wanted to forecast the number of
drinks he would sell in each period and the percent of sales that are cold drinks.
Therefore, Joe collected data from both franchises and decided to do an analysis to see if he could design a forecasting
model for each location. He was also interested in analyzing buying patterns in both franchises to see if there were any
similarities or differences. The data is found in DrinkSales.txt.
Your task is to predict sales patterns using simple linear regression. You will import the comma delimited file into a SQL
database table that has marketing research data on drinking patterns and perform some basic analyses on this data
by creating a scatter plot. After you analyze this data you will use simple regression to try to predict drink patterns.
Deliverables