Case Application 1:
Growing
Leaders
Brizuela Fajardo Romero Sibal
GROWING
LEADERS
3Ms
Leadership
Developme
nt Program
Top three on the list of
BusinessWeeks Top 20
Companies for Leadership
(2010)
The best at developing
future leaders (Chief
Executive Ma
Multiple Regression
Multiple regression
Typically, we want to use more than
a single predictor (independent
variable) to make predictions
Regression with more than one
predictor is called multiple
y i = + 1 x1i + 2 x 2i + K + p x pi + i
regression
Motivat
Leadership
Theories
Trait Approaches
Assumed that a finite number of traits
could explain the effectiveness of leaders
Intelligence (too large a difference is
dysfunctional)
Personality (alertness, originality, personal
integrity, self-confidence)
Physi
Management of People
Functional Organisation
Managing
Director
Marketing
Engineering
Production
Finance
Market
Research
Engineering
Design
Production
Planning
Financial
Planning
Advertising
Electrical
Engineering
Industrial
Engineering
Budgeting
Sales
Mec
CASW #2: Julias Furniture
I.
Mission Statement of Julias Furniture
Mission
To be the countrys top company in the rattan industry that manufactures house
and office furniture made mainly of rattan mixed with other materials, such as wood,
metal, or fibergl
Selecta: Mixing the Right Ingredients for the Future
I.
Brief background of the Case Study
Ice cream is one of the favorite desserts in the Philippines probably because of the
countrys geological features, location and the climate. Filipinos would often c
Case Study No. 5 :
Half-Factorial Statapult Experiment
I.
Objective
The objective of the half factorial experiment is to give conclusion on the
significant factors that greatly affect the distance travelled by the ball. The experiment
aims to determine wh
Case Study 2: WalterMart
I.
Brief Background of the Study
The case study deals with accounting records and systems, which involves
debiting and crediting accounts. It aims to emphasize the significance of identifying
the accounts to be debited and credite
Case No. 1
Using Graphs to Communicate Statistical Results
1. The following data set is given, random sample of test scores from a batch of students in
a high school in Manila.
Math and
Science
Language and
Literature
72
80
83
75
81
74
77
92
75
79
82
84
8
I.
Brief Background and History of the Study
The second law of thermodynamics revolves around the concept of
thermodynamic entropy for a system in internal thermodynamic equilibrium. The law
states that in every natural thermodynamic process, intensificat
Case Study 1: John Bartlett
I.
Brief Background of the Case Study
The study revolves around the concept of capital and investment. First,
capital refers to the financial resources available that may be utilized in order to run a
business. It is what the c
Case Study No. 1
Vehicle MPG
I.
Introduction
Linear regression is a statistical approach for modeling the relationship
between two variables. One of which represents a scalar dependent variable (y) and the
other represents the independent variable (x). Re
Case Application 2:
THE PORT OF
ROTTERDAM
Brizuela Fajardo Romero
Sibal
SUMMARY
DISCUSSIO
N
QUESTIONS
1. How would you describe the crisis
management teams organizational
culture? What problems do they have
in making decisions quickly? Explain.
CoPI
orga
Sibal, Christelle Faye R.
HUBEHOR EC
11342803
The bankruptcy of Lehman Brothers was one of the largest and most complex in history,
encompassing more than $1 trillion worth of creditor claims, four bodies of applicable U.S. laws,
and insolvency proceeding
1. I agree with Buckley's statement that "Leaders differ from managers", because just like what he has
said, leader is much about inspiration whereas manager is more about process. Leaders are more about
influencing people because they inspire them to do
Linear Regression
Regression Statistics
R
R-square
Adjusted R-square
S
N
0.66317
0.4398
0.43156
3.68011
70
Hits = 10.64053 + 0.0363 * Time
ANOVA
d.f.
SS
723.00585
920.93701
1,643.94286
MS
723.00585
13.54319
Coefficient
Standard Error
Intercept
10.64053
1.
Multiple regression
Introduction
Multiple regression is a logical extension of the principles of simple linear regression to
situations in which there are several predictor variables. For instance if we have two predictor
variables, X 1 and X 2 , then the
Linear Regression
Regression Statistics
R
R-square
Adjusted R-square
S
N
0.30738
0.09448
0.03606
4.02317
34
Run = - 0.33411 + 0.03877 * Time + 0.00841 * 170
ANOVA
d.f.
SS
52.35554
501.76211
554.11765
MS
26.17777
16.18587
F
1.61732
p-level
0.21473
Coeffici
[Simple LR Exercise]
For 70 randomly selected 1999 National League baseball games, here are the times given
to complete the games (in minutes), the total number of hits in the game, and the combined
number of runs in the game.
Time
108
128
129
136
Time
Hi
[Simple LR Exercise]
For 70 randomly selected 1999 National League baseball games, here are the times given
to complete the games (in minutes), the total number of hits in the game, and the combined
number of runs in the game.
Time
108
128
129
136
Time
Hi
Linear Regression
Regression Statistics
R
R-square
Adjusted R-square
S
N
0.66342
0.44013
0.42341
67.71579
70
Time = - 9.35143 + 11.66227 * Hits + 0.49452 * Run
ANOVA
d.f.
SS
241,513.7365
307,223.70635
548,737.44286
MS
120,756.86825
4,585.42845
Coefficient
[Simple LR Exercise]
For 70 randomly selected 1999 National League baseball games, here are the times given
to complete the games (in minutes), the total number of hits in the game, and the combined
number of runs in the game.
Time
108
128
129
136
137
141
1. Adjust the row height to 50 and combine column A1 to F1 (using merge and center). Place your
initial, logo of sun and Order Form for the title. Use WordArt from the Drawing toolbar)
2. Format the heading using Arial Black size 15, font color green with
De La Salle University- Manila
2401 Taft Ave, Malate, Manila, 1004
Presented to the Industrial Engineering Department
AY 20 1 6-20 17
3rd Term
In partial fulllment of the requirements of
LBYIMEA
Submitted by:
Martina Casa
Michaela Mendiola
Anthony Tan
Lor
Case Study No. 2
Multiple Linear Regression: Bank Wages
I.
Given Data
LET:
SAL_NOW
ID
SAL_START
SEX
SENIOR
AGE
WORK_EXP
EDUC
HS_GRAD
COLLEGE
COLL_GRAD
GRAD_SCH
Salary (dollars) at time of the study
Employee ID
Salary (in dollars) at the time of hiring
(0
THE
GREAT DEPRESSION
I. Short background of the country before the event
The 1920's was a decade often referred to as the roaring twenties; a time when
successful businessmen were national heroes, land values were booming and when
women wore shorter and f
INDUSTRIAL MANAGEMENT ENGINEERING SOCIETY
IECOSAC REVIEWER for Quiz 3
I.
Ferniture Inc. uses a budgeted overhead rate for applying factory overhead to job orders. The company
currently divided its main furniture production system into three parts namely: