$- Sheeu- HILL-est Squares-MP _
.-._ _
ABRespomeIneome/Cap
A Whole Model I EBachGrad
D EffectSummaly A Leverage Plot
JRegressionPlot 40000 .
m _
3 35000
3 I I
E 30000
'1'
m
25000 _
-l
gamm
E 15000
a
E e ,e. e I
Problem 11.6
A.)
Model Summaryb
Std. Error
Adjusted
of the
Model
R
R Square R Square Estimate
1
.943a
.889
.878 4.59830
a. Predictors: (Constant), X
b. Dependent Variable: Y
ANOVAa
Sum of
Mean
Model
Squares df
Square
1
Regression
1695.473 1
1695.473
Resid
9.24
9.25
It seems the majority of observations in the selected data (cases 57-113) have an age between 50-57
B.
Correlations
Age Infection
Risk
Age
Infection Risk
Routine Culturing
Ratio
Routine X-Ray
Ratio
Number of Beds
Average Daily
Census
Number of
N
Assignment 5
Do problems 8.8, 9.24, 9.26.
8.8
a.
The response function does appear to provide a good fit. The plotted points have a fairly clear,
linear arrangement.
b.
Model Summaryb
Model
R
R Square
Adjusted R
Std. Error of
Square
the Estimate
a
1
.783
Problem 11.6
1. Fit an OLS linear regression function, obtain the residuals and plot them against X. What does the plot suggest?
Model Summaryb
Std.
Adjusted Error of
R
R
the
Model
R
Square Square Estimate
a
1
.943
.889
.878 4.59830
a. Predictors: (Consta
7.16
A.)
Yi'
X ik'
Correlation Transformation
Yi Y
n 1 s Y
1
X ik X
n 1 s X
1
(Y
i
sY
sk
Y) 2
= Y = .89239X 1 + .39458X2
i
n1
(X
ik
Xk )2
i
n1
B.) B1 is the first regression coefficient, which is a constant. It represents the rate of
change
Assignment 8
Problems 16.8 and 17.18.
16.8
a.
Dot Plot of Number of Responses by Color
The factor level means for the three different paper colors do not appear to differ
because each of the vertical lines for each color have about the same middle point.
Assignment 4
Do problems 6.22, 6.25, 7.19, 7.30 (except use Commercial Properties 6.18 dataset
instead of Brand Preferences), 7.37.
6.22
a. Y i= 0 + 1 X i1 + 2 log 10 X i2 + 3 X 2i 1+ i
GLM: Yes
Let 2 log10 X i 2= 2 X ' i 2
Let X i 1= X i
Let X 2i 1= X i3
11.6
Fitted regression function:
Y^ = 19.4727 + 3.2689X
Summary of Fit
RSquare
RSquare Adj
Root Mean Square Error
Mean of Response
Observations (or Sum Wgts)
0.889118
0.878029
4.598296
67.41667
12
Analysis of Variance
Source
DF
Model
Error
C. Total
1
10
1
Assignment 7: Do problems 15.19 and 15.22. For each problem, also use JMP DOE,
or something similar, to set up your design matrix.
15.19
a. Experimental Design
Study Design: Randomized Complete Block Design
Design
Run
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
1
The Practice of Statistics for
Business and Economics
Third Edition
David S. Moore
George P. McCabe
Layth C. Alwan
Bruce A. Craig
William M. Duckworth
2011 W.H. Freeman and Company
Examining Distributions
Displaying Distributions with Graphs
PSBE Chapter
YORK UNIVERSITY
SC/MATH 1131 B
TEST #1 SOLUTIONS
The total number of points for the Test is 75.
1. (5+5+5 points) (a) Young drivers tend to be more involved in automobile crashes
than older drivers. This may be attributed to risky driving and inexperience
MATH 1131
Assignment # 2 Solutions [25 marks]
Fall 2016
INSTRUCTIONS (Please read carefully): Due Friday, October 7, 2016, by NOON (12pm) in the drop
box labeled MATH 1131 B, V. MICHKINE. Drop boxes are located on the 5th floor of ROSS NORTH by
the elevat
MATH 1131
Assignment # 3 Solutions [25 marks]
Fall 2016
Note: you may use a statistical software program to create the graphs, or you can do them by
hand. For those students who wish to use software, the technology corner in your textbook
maybe useful. Wh
MATH 1131
Assignment # 4 Solutions [25 marks]
Fall 2016
Note: where appropriate, show your work, state any variables and formulas used in your
solution, and leave answers to three or more decimal places. Assignment solutions may be
hand-written or typed.
Final Assignment
Geography 2420 Fall 2015
Taly Drezner
Section 03
213 241 658
Olivia Kazmierczak
Introduction
What is being tested if there is a difference in the amount of females compared to males at the gym as
well as the exercise that they doing. For
Graphical
Descripti e
Descriptive
Techniques
What is Statistics?
Statistics is a way to get information
from data
THATS IT!
Population VS Sample
A Population is the entire set of observations
under study
A descriptive measure of a population is called a
p
Chapter 4
Numerical
Descriptive
Techniques
1
Measures we will look at
Usually, we focus our attention on three
t
types
off measures when
h d
describing
ibi
population characteristics:
Central location (e.g. average)
Variability or spread (e
(e.g.
g standa
Graphical
Descripti e
Descriptive
Techniques
1
What is Statistics?
Statistics is a way to get information
f
d t
from
data
THATS IT!
2
Population VS Sample
A Population is the entire set of observations
under study
A descriptive measure of a population is
Kajana B, Thugeetha C, Lakshana S, Archana Y
THE BIELSKI PARTISANS
Partisans: a strong supporter, or a group
formed to support or fight against a
certain party, cause, person, or group.
What is the Bielski Partisans?
The Bielski partisan is the most signi