n Y 2.64 3.45 3.12 3.12 3.60 3.00 2.70 2.40 1.89 1.79 1.71 29.42 mean 2.67 23.45 1 2 3 4 5 6 7 8 9 10 11 X XY X² y² 23 60.72 529 6.97 24 82.80 576 11.90 26 81.12 676 9.73 20 62.40 400 9.73 30 108.00 900 12.96 29 87.00 841 9.00 28 75.60 784 7.29 20 48.00 400 5.76 21 39.69 441 3.57 19 34.01 361 3.20 18 30.78 324 2.92 258 710.12 6232 83.05 sum After you run the regression, the following outcomes were obtained: R² = 0.51 Compute the Residual Sum of Squares, SSR.

n Y 2.64 3.45 3.12 3.12 3.60 3.00 2.70 2.40 1.89 1.79 1.71 29.42 mean 2.67 23.45 1 2 3 4 5 6 7 8 9 10 11 X XY X² y² 23 60.72 529 6.97 24 82.80 576 11.90 26 81.12 676 9.73 20 62.40 400 9.73 30 108.00 900 12.96 29 87.00 841 9.00 28 75.60 784 7.29 20 48.00 400 5.76 21 39.69 441 3.57 19 34.01 361 3.20 18 30.78 324 2.92 258 710.12 6232 83.05 sum After you run the regression, the following outcomes were obtained: R² = 0.51 Compute the Residual Sum of Squares, SSR.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Arsenic Amounts Arkansas 4.80 4.90 5.02 5.37 5.43 5.37 5.60 5.61 5.57 5.91 5.97 6.12 California 1.50 3.71 3.95| 4.45| 4.94| 5.12 5.33 5.35 5.41 5.49 5.56 5.61 Texas 5.57 5.82 6.62 6.90 6.85 6.88 | 7.05 7.34 7.48| 7.58 7.71 | 7.73 I
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A researcher hypothesizes that ambient air carbon monoxide pollution levels at a certain location should be higher in the winter than they are in the summer. The reasoning behind this hypothesis is that a major source of carbon monoxide in the air is from the incomplete combustion of fuels, and fuels tend to burn less efficiently at low temperatures. Moreover, it is felt that the stagnant winter air is more likely to trap the pollution. In order to investigate this hypothesis, the data set in DS 9.7.12 is collected which shows the ambient air carbon monoxide pollution levels (parts per million) for ten Sunday mornings in the middle of winter and ten Sunday mornings in the middle of summer.
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