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MATH 147 Exam II
Date: Wednesday March 14, 2007
Time: 12:00 - 1:00
Place: Lecture Hall 1
General Information
»Ranges from -1 to 1
»0 means no association
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The SD Line
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Computing the Correlation
Coefficient
Chapter 9
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Features of the
correlation coefficient
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Changing SDs
l Outliers
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Non linear association
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Association is not
causation
Chapter 10
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Regression line
» Slope = (r)(SDY)/(SDX)
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The graph of averages
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Calculating predicted
values
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The regression effect
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The regression fallacy
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Two regression lines
Chapter 11
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Residuals (Errors)
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RMS Error =
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Plotting residualsl
Vertical Strips
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Normal Curve in a vertical
strip
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Football shaped scatter
diagram
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Hetroscedasticity
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Homoscedasticity
Chapter 12
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Regression Slope and
Intercept
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Method of least squares
Chapter 13
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Properties of chance
(probability)
» Between 0% and 100%
» opposite events
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Long run argument
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Conditional probabilities
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Multiplication rule
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Independence
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Drawing at random with
replacement
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Skip Section 13.5
Chapter 14
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Mutually exclusive events
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Addition rule
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At least one occurrence
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Skip Section 14.5