ENGR 111 - Statistics 2

ENGR 111- - Example Response variable Height(y Explanatory variable Age(x Can we use a straight line to summarize the relationship(Description Can

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Homework Due: Wednesday, February 27 6.2, 6.4, 6.12, 6.14, 6.15, 6.18, 6.20
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Normal Distribution Symmetric Single peak Bell-shaped
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Normal Distribution f ( x ) = 1 " 2 # e $ 1 2 x $ μ % ( ) * 2
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Standard Normal Distribution Mean = μ = 0 Standard deviation = σ = 1 z = x " μ #
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Area Under Curve -3 -2 -1 0 1 2 3 Total area under curve = 1
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Scatterplot Graph of points representing collection of data Shows relationship between two quantitative variables
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Unformatted text preview: Example Response variable: Height (y) Explanatory variable: Age (x) Can we use a straight line to summarize the relationship? (Description) Can we predict a new baby’s height if we know its age? (Prediction) Regression Technique of fitting simple equation to real data points Most typical is linear regression Moneychimp.com...
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This note was uploaded on 04/13/2008 for the course ENGR 111 taught by Professor Cardinal during the Winter '08 term at Cal Poly.

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ENGR 111- - Example Response variable Height(y Explanatory variable Age(x Can we use a straight line to summarize the relationship(Description Can

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