# HW 9 - HW 9 Regression and Correlation 1 12.41 The three...

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HW 9 Regression and Correlation 1. 12.41. The three residual plots, (i), (ii), and (iii), were generated after fitting regression lines to the three scatterplots, (a), (b), and (c). Which residual plot goes with which scatterplot? How do you know?

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2. 12.5(modified). Twenty plots, each 10 x 4 meters were randomly chosen in a large field of corn. For each plot, the plant density (number of plants in the plot) and the mean cob weight (g of grain per cob) were observed. The results are given in the table. Plant Density X Cob Weight Y Plant Density X Cob Weight Y 137 212 173 194 107 241 124 241 132 215 157 196 135 225 184 193 115 250 112 224 103 241 80 257 102 237 165 200 65 282 160 190 149 206 157 208 85 246 119 224 a. Calculate the linear regression of Y on X . b. Calculate s Y and specify the units. c. Calculate the value of s Y|X and specify the units. d. Interpret the value of s Y|X in the context of this setting. e. Calculate the value of r
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## This note was uploaded on 12/13/2011 for the course STAT 205 taught by Professor Hendrix during the Fall '09 term at South Carolina.

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HW 9 - HW 9 Regression and Correlation 1 12.41 The three...

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