Math Lab 8

Math Lab 8 - Andrew Eskander Math Lab 11 June 6, 2008 Lab...

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Andrew Eskander Math Lab 11 June 6, 2008 Lab #8 1. 100 95 90 85 80 155 150 145 140 135 130 125 120 HT2 HT9 Scatterplot of HT9 vs HT2 100 95 90 85 80 10 5 0 -5 -10 HT2 Residual Residuals Versus HT2 (response is HT9)
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The regression equation is HT9 = 31.9 + 1.18* HT2 . Based on the scatterplot and residual plot, linear regression does seem like an appropriate way to predict heights. 2. 155 150 145 140 135 130 125 120 200 190 180 170 160 150 HT9 HT18 Scatterplot of HT18 vs HT9
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155 150 145 140 135 130 125 120 15 10 5 0 -5 -10 -15 -20 HT9 Residual Residuals Versus HT9 (response is HT18) The regression equation is HT18 = 32.3 + 1.04 *HT9 . Based on the scatterplot and residual plot, linear regression does seem appropriate for this data. 3. 100 95 90 85 80 155 150 145 140 135 130 125 120 HT2 HT9 F M Gender Scatterplot of HT9 vs HT2
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No, there is no big difference between how much boys and girls grow between age 2 and age 9, thus, the regression line found in question 1 appears to work pretty well for both boys and girls. 4.
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This note was uploaded on 12/03/2009 for the course MATH 110 taught by Professor Staff during the Spring '08 term at UCSD.

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Math Lab 8 - Andrew Eskander Math Lab 11 June 6, 2008 Lab...

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