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14 Pages

### module12

Course: STAT 503, Fall 2008
School: Purdue
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Word Count: 1282

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12 In Module this module, we discuss linear regression. 1. Method of least squares 2. Effect of outlying observations 3. Creating a scatterplot 4. Using EXCEL to perform regression 6. Correlation coefficient and a scatterplot Fitting the Best Line Consider the data set shown on the right and plotted below. We want to see if there is a linear relationship between the time of growth and the diameter of a plant....

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12 In Module this module, we discuss linear regression. 1. Method of least squares 2. Effect of outlying observations 3. Creating a scatterplot 4. Using EXCEL to perform regression 6. Correlation coefficient and a scatterplot Fitting the Best Line Consider the data set shown on the right and plotted below. We want to see if there is a linear relationship between the time of growth and the diameter of a plant. The pink line (predicted values) is the line associated with the intercept and slope shown in green. The vertical black lines represent the residual. Using the scroll bars, try to find the line which minimizes the SS(resid). The answers using least squares (i.e. the fitted regression line) are shown on row 26 of this page. Intercept Slope 25.84 260 0.00 51 Predicted Sq. Residual 25.84 5.02 25.84 3.03 25.84 0.00 25.84 0.06 25.84 0.29 25.84 0.92 25.84 0.92 25.84 0.02 25.84 1.35 25.84 0.92 25.84 0.44 25.84 1.85 25.84 1.3...
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