Lecture 5 - Lecture 5 Material Covered in This Lecture...

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Lecture 5 Material Covered in This Lecture: Chapter 2, Section 2.3: Least Squares Regression Example from last time: Example(Exercise 2.29): A student wonders if tall women tend to date taller men than do short women. She measures herself, her dormitory roommate, and the women in the adjoining rooms; then she measures the next man each woman date. Here are the data (heights in inches) Woman (X) 6 6 6 4 6 6 6 5 7 0 65 Men (Y) 7 2 6 8 7 0 6 8 7 1 65 (to find this in minitab, follow stat>basic statistics>correlation) Answer: r = 0.565. ( x =66, y =69, s x = 2.098, s y =2.53) 1 h Example 1 (Example 2.9, p132) NEA Data: NEA -94 -57 -29 13 5 14 3 15 1 24 5 35 5 39 2 47 3 48 6 53 5 57 1 58 0 62 0 690 Gat 4.2 3.0 3.7 2.7 3.2 3.6 2.4 1.3 3.8 1.7 1.6 2.2 1.0 0.4 2.3 1.1 r = -0.7786 (to find this in minitab, follow stat>basic statistics>correlation) 1 make a scatterplot with minitab….
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Regression Line 2
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(1). How to find a good regression line? Least Squares Regression Line (2). Equation of the least squares regression line.
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the equation of the least squares line is: y=3.505 - 0.003441x
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