Nicolaides MAS 362 Decision Tools for Management Lab/Homework Assignment #1
Please note that Minitab instructions are also at the end of each chapter
and in Minitab Help.
DUE DATE: _Sunday 29 at Midnight_
All of the data sets are in MS Excel format. For e
1
MAS 362 Decision Tools for Management Level Three Project
Deliverables:
Project proposal is due on _
Project is due in email on _
Dataset is due in email on _
Passing Level Three requires demonstration of your ability to independently design and
execute
The regression equation is
SALES = 199 + 2.56 Time
Predictor
Constant
Time
Coef
199.017
2.5559
S = 15.9126
SE Coef
5.128
0.2180
R-Sq = 78.3%
T
38.81
11.73
P
0.000
0.000
R-Sq(adj) = 77.8%
Analysis of Variance
Source
Regression
Residual Error
Total
DF
1
38
Nicolaides MAS 362 Decision Tools for Management Lab/Homework Assignment #2
DUE DATE: _
Minitab instructions (see end of chapters 3 and 4 and Minitab Help for more info)
Multiple regression: exercise 4.1 (COST4). The variables are: manufacturing cost in
t
Rob Quinn
Data Analysis:
COST Y Numeric In $
PAPER
X Numeric In tons
Machine
X Numeric
Overhead
X Numeric
Labor X Numeric
MULTI-COLINEARITY
Descriptive Statistics: COST, PAPER, MACHINE, OVERHEAD, LABOR
Variable
COST
PAPER
MACHINE
OVERHEAD
LABOR
Mean
1497.
MAS 362: Decision Tools for Management
Fall 2013
Team Assignment #2
Thursday
Due: Oct. 10,
1. Start each problem on a separate page.
2. You should show complete work to receive full credit.
Refer to Text:
1.
2.
3.
4.
5.
6.
7.
Ch 3
Ch 3
Ch 3
Ch 3
Ch 3
Ch 3
MAS 362: Decision Tools for Management
Fall 2015 Exam #1 Name
1. Show complete work to receive lll credit.
2. This is a closed book/notes exam; only a sheet of paper with formulas is
allowed.
3. Exchange of any materials/calculators is not permitted.
4. Y
Keg.
MAS 362: Decision Tools for Management 2
Fall 2015 Quiz #1 Name
1. Show work to receive full credit.
2. This is an open-book, open-notes quiz.
Question I: I ' 7
The number of years of service for ten upper-level managers are:
3 12 7 21 15 8 18 25 16
MAS 362: Decision Tools for Management
Spring 2016 . Quiz #4 Name
1. Show work to receive full credit.
2. This is an openbook, open-notes quiz.
Question: _
Fuel Consumption. The data le FUELCON4 contains the following variables for all 50 states plus th
Eric Dorata, Matt Ferris, Holden Foshag
November 13,2013
Our project will focus on finding the most popular musical artist of all time. The
independent variables will include number of albums sold, genre, years active and
amount of claimed sales. The amou
Null as what you DO NOT WANT TO PROVE
Alternative is what you are proposing (your hypothesis)
NULL REJECTED IF . P< (significance level) OR t > | 2 |
NULL NOT REJECTED IF. p > (sig. level) OR T < |2|
Reject null if p value is LESS than the significance le
Rob Quinn
NBA statistics Project Log
Business Issue: Predicting Annual Salary in dollars to help improve NBA owners/teams team
salary budgeting.
We are using 3 categorical variables (Position, Conference, Team) and 8 numeric variables
(Points Per Game (PP
LAB EXAM
STEPS:
1. Data Review: Descriptive Statistics and Varaible analysis
2. Numeric Analysis
a. Run basic regression with quick assessment
b. Plot assessment
c. Run regression with correct transformation if needed
c.i. Quick assessment and plot assess
MAS 362 DECISION TOOLS FOR MANAGEMENT LAB #5
HOMEWORK: PRACTICING VARIABLE SELECTION TECHNIQUES
(HAND IN 2/23/2012)
In this homework you will practice 2 techniques for selecting the variables for our starting or initial
regression function and then compar
5% risk level
Data Review:
RepairTime
NUMBER
Make
Y: Minutes
X: (NUMERIC) Number of Computers in the repair queue
X: (Categorical) Manufacturer Code: 1=Dell, 2=Compact, 3=IBM, 4=Mac
Total
Count
30
Variable
RepairTime
Mean
431.9
Minimum
66.0
Q1
168.3
Media
Frank Wu
Regression Analysis: FUELCON versus DENSITY
The regression equation is
FUELCON = 496 - 0.0251 DENSITY
Predictor
Coef SE Coef T P
Constant 495.628 9.481 52.28 0.000
DENSITY -0.025095 0.007040 -3.56 0.001
S = 65.1675 R-Sq = 20.6% R-Sq(adj) = 19.0%
Frank Wu
Given Data
CITYMPG (Y) Miles per gallon (Numerical)
Weight (X) weight of the vehicle (Numerical)
Vehicle Type (X) (Compacts, passenger, SUV, Hybrid, Commercial) (categorical)
I will be using a 5 percent level of risk.
Variable
CITYMPG
Total
Count
PART B:
HOMEWORK: PRACTICING VARIABLE SELECTION TECHNIQUES (HAND IN NEXT CLASS)
In this homework you will practice Backward Elimination and All Regressions (Minitabs Best Subsets).
Use Dataset NBA4 see page 174.
For predictive modeling, we are looking to
MAS 362: Decision Tools for Management
Spring 2016 Quiz #2 Name
1. Show work to receive full credit.
2. This is an open-book, open-notes quiz. .
Questionl:
A retailer that sells home entertainment systems accumulated 10,451 sales invoices during the previ
MAS 362: Decision Tools for Management
Spring 2016 Exam #2 Name
1. You must show complete work on paper to receive full credit.
2. You may use one sheet of notes, a calculator and the statistical tables.
Question Question 1: (18)
A real estate agency
kc;
MAS 362: DECISION TOOLS FOR MANAGEMENT
Spring, 2016 Quiz#5
- You should show complete work to receive full credit.
0 Fill in the useful details.
1. Consider the data on Fresh Detergent: ye Demand; x1 price; xz average industry price; x3
advertising;
Time Series Analysis
Revisited
A.
B.
C.
Cyclicalpatternsinresiduals
Usingcategoriesintimeseries
analysis(7.3)
Testforindependence(6.8)
1
A. Cyclical patterns in the residuals
Repetitivepatternas
timeprogresses
Residualsv.time
ONLYintimeseries
plots
Soluti