Assignment 1
(a) Develop the estimated regression equation that could be used to predict the percentage
of games won, given the average number of passing yards per attempt. What proportion
of variation in the sample values of proportion of games won does
Assignment 3
a. Construct a time series plot. What type of pattern exists in the data?
The trend reflects increase over years as Year 3 cost/unit $28.2, year $6 cost/ unit
It implies that increase in cost have positive linear association with growth in pr
Assignment 4
a. Using a minimum support of 100 transactions and a minimum confidence of 50 percent,
use XLMiner to generate a list of association rules. How many rules satisfy this
criterion?
With 100 transactions and a minimum confidence of 50%,581 assoc
Assignment 2
a.
Develop an estimated multiple regression equation that relates risk of a stroke to the
persons age, systolic blood pressure, and whether the person is a smoker.
Estimated Multiple regression equation that relates risk of a stroke to the pe
Chapter Two
2-1
The Marketing Research Industry Members
Consumer and industrial
Field services firms
goods and services producers
Specialized services firms
Media Companies
Syndicated services
Online and mobile
tracking firms
Custom research firms
How to Create y and ^y in the Data Analysis Report?
1. Click Insert tab on the top of the Word document
2. Click the upside down triangle on the Equation button, and then select Insert
New Equation
3. Click the Design tab on the top, and then click upside
How to Create
b0
and
b1
in the Data Analysis Report?
1. Click Insert tab on the top of the Word document
2. Click the upside down triangle on the Equation button, and then select Insert
New Equation
3. Click the Design tab on the top of the Word document,
Solutions to Q9 on pp. 313 Big Data in Market Basket Analysis
a. The store recorded 1001 customers purchases. Each row represents each customers orders.
(1) Click XLMiner Platform, then Associate, and then Association Rules
(2)Because the first row contai
How to Perform the Sensitivity Analysis using Solver
After reaching the best objectives (e.g., maximum profits) by using the linear optimization analysis,
some analysts maybe want to know more about the manufacturing process, such as which department
has
How Many Dummy Variables Are Needed?
Some categorical factors only have two categories. For instance, the Gender factor in the fitness
app example only has male and female. Some categorical factors have more than two categories.
For instance, customers ca
Supervised Learning Analysis Classification Tree
I introduced the supervised learning strategy to everyone in the video lecture. When using this
strategy, we still draw one sample to build analytical model, but we split this sample into three
smaller data