Linear Regression

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Statistical Relationships and <strong>Regression</strong>: Two Numbers Describe a Line • Any line can be described by two numbers • The 3 lines here differ in how steeply they “slant” • This slant is referred to a Slope
Statistical Relationships and <strong>Regression</strong>: Two Numbers Describe a Line • The slope of any line is defined by how much the line rises or falls relative to the distance it travels horizontally
Page 1 and 2: Introduction to Linear Regression A
Page 3 and 4: • Many public management problems
Page 5 and 6: Functional Relationship • Cooter
Page 7 and 8: Functional Relationship • Task
Page 9 and 10: Statistical Relationships and Regre
Page 17 and 18: Centrality and Spread • Remember,
Page 19: Statistical Relationships and Regre
Page 39 and 40: Applying the Regression Equation
Page 41 and 42: Applying the Regression Equation Y
Page 43 and 44: Regression Example • Using the pr
Page 45 and 46: Linear Regression Measures of Goodn
Page 53 and 54: The Standard Error of the Estimate
Page 61 and 62: The Coefficient of Determination
Page 63 and 64: The Coefficient of Determination 2
Page 65 and 66: The Coefficient of Determination 2
Page 67 and 68: The Standard Error of the Slope •
Page 69 and 70: The Standard Error of the Slope •
Page 71 and 72:
The Standard Error of the Slope •
Page 73:
To summarize • Regression describ
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Linear Regression

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