Statistical Design of Experiments in Extrasensory Perception
STATS 101

Fall 2015
01Kahane45364.qxd
11/9/2007
4:39 PM
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1
An Introduction to the
Linear Regression Model
T
he basic goal of regression analysis is to use data to analyze relationships.
Thus, the starting point for any regression analysis is to have something
to anal
Statistical Design of Experiments in Extrasensory Perception
STATS 101

Fall 2015
02Kahane45364.qxd
11/9/2007
4:39 PM
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The LeastSquares
Estimation Method
Fitting Lines to Data
I
n the various examples discussed in the previous chapter, lines were drawn
in such a way as to best fit the data at hand. The question arises as to
Statistical Design of Experiments in Extrasensory Perception
STATS 101

Fall 2015
03Kahane45364.qxd
11/9/2007
4:40 PM
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3
Model Performance
and Evaluation
I
n the previous chapter, we learned how to use the method of leastsquares
to find a line that best fits a scatter of points. It can be shown that, given
the right circumsta
Statistical Design of Experiments in Extrasensory Perception
STATS 101

Fall 2015
Exploratory Factor Analysis
31
Exploratory Factor Analysis
Defined
Exploratory factor analysis . . . is an
interdependence technique whose primary
purpose is to define the underlying structure
among the variables in the analysis.
32
What is Exploratory
Statistical Design of Experiments in Extrasensory Perception
STATS 101

Fall 2015
Numerical Descriptive Measures
Summary Definitions
The central tendency is the extent to which all the
data values group around a typical or central value.
The variation is the amount of dispersion or
scattering of values
The shape is the pattern of the d
Statistical Design of Experiments in Extrasensory Perception
STATS 101

Fall 2015
Organizing and Visualizing Variables
Categorical Data Are Organized By
Utilizing Tables
Categorical
Data
Tallying Data
One
Categorical
Variable
Two
Categorical
Variables
Summary
Table
Contingency
Table
Organizing Categorical Data:
Summary Table
A summary
Statistical Design of Experiments in Extrasensory Perception
STATS 101

Fall 2015
Simple Linear Regression
Correlation vs. Regression
DCOVA
A scatter plot can be used to show the
relationship between two variables
Correlation analysis is used to measure the
strength of the association (linear relationship)
between two variables
Correla