Simple Linear
Regression
Relationship Between Two
Quantitative Variables
If we can model the relationship between
two quantitative variables, we can use one
variable, X, to predict another variable, Y.
Use height to predict weight.
Use percentage of har
Normal Distributions
Normal
Normal Distribution
f(y)
y
f(y) =
E[Y] =
E[Y]
1
( y ) 2 / 2 2
e
, < y <
2
and Var[Y] = 2
and
G. Baker, Department of Statistics
G.
University of South Carolina; Slide 2
Normal Distribution
Characteristics
Characteristics
B
Multiple Regression
Slide 1
Multiple Regression
Consider situations involving two or more
independent variables.
This subject area, called multiple regression
analysis, enables us to consider more factors and
thus obtain better estimates than are possible
NAME (Please Print): Score: /20
Are you a graduate student ? Yes No
c ,1: an
HONOR PLEDGE (Please Sign):
Statistics 509: Fall 2013
Midterm H
You may use your calculator and one page of notes.
You may use the attached table of the cumulative distrib
Inferences on Population
Proportions
Proportions
Use Calculation from Sample to
Use
Estimate Population Parameter
Estimate
Population
(select)
Sample
(calculate)
(describes)
Parameter
p=?
(estimate)
Statistic
p = 63%
G. baker, Department of Statistics
G.
Inference on a Single
Inference
Mean
Mean
G. Baker, Department of Statistics
G.
University of South Carolina
Use Calculation from Sample to
Use
Estimate Population Parameter
Estimate
Population
(select)
Sample
(calculate)
(describes)
Parameter
p=?
(estima
NAME (Please Print):
Score:
/20
HONOR PLEDGE (Please Sign):
Statistics 509: Fall 2010
Midterm I
You may use your calculator and one page of notes.
Report all numerical answers to four correct significant figures.
You may use the attached table of the cumu
Inferences on Two
Populations
Populations
Two Samples from Independent Populations
An independent consumer group tested
radial tires from two major brands to
determine whether there was any difference
in the average tread life (thousands of
miles). The su