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 V
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 Midni
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 demonstrat
Nicolaides MAS 362 Decision Tools for Management Lab/Homework Assignment #4
DUE BY: _
I. FOC8: The problem is on page 330 in Dielman. Build a time-series model to predict
SALES (in dollars) using FOV
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
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, LABO
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. Excha
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
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 T
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 sys
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 con
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, ge
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|
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 transfo
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
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
Var
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
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
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 se
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 tabl
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;
Time Series Analysis
Revisited
A.
B.
C.
Cyclicalpatternsinresiduals
Usingcategoriesintimeseries
analysis(7.3)
Testforindependence(6.8)
1
A. Cyclical patterns in the residuals
Repetitivepatternas
timep