Sports Economics
Study Guide Two
Basic Statistical Analysis and Consumer Demand in Sports
September 1, 2011
BASIC STATISTICS AND REGRESSION ANALYSIS
1.
a.
Explain the difference between the ‘mean’ and the ‘median’.
b.
Explain the difference between a symmetrical and skewed distribution.
c.
The mean salary of NBA players equaled $4.6 million in 200910.
The median salary was $2.8
million.
What does this information tell us about the distribution of salaries in the NBA?
Briefly
explain.
2.
Explain how one calculates the following measures of dispersion.
a.
Range
b.
Sample Variance
c.
Standard Deviation
3.
Explain the difference between a 'deterministic' and a 'statistical' relation.
Provide an example from the
world of sports
of each relation.
4.
List, define, and provide a sports example of the three types of data utilized in regression analysis.
5.
What is ‘Ordinary Least Squares’?
6.
Explain why an error term is a part of any regression.
Be sure to list the three sources of the error.
7.
Given
Wins = a
0
+ a
1
*Offensive Rebounds + e
i
In the above regression equation, what is
a.
Wins
b.
a
0
c.
a
1
d.
Offensive Rebounds
e.
e
i
f.
Explain the difference between univariate and multivariate analysis.
Be sure to explain the problem(s) with
univariate analysis.
Your answer should explain and reference the term ‘ceteris paribus’.
g.
Discuss how the following models can lead to mistaken inferences:
Wins = f(PTS)
Winning Percentage = f(Relative Payroll)
8.
We have a rule of thumb that a tstatistic should be, in absolute value, greater than two.
Explain the
reasoning behind
this rule.
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 Spring '09
 BARBARAROSS
 Regression Analysis, consumer demand, Gate Revenue, David J., Regular season wins

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