Researchers collected data on the annual mortality rate (deaths per 100,000) for males in 20 large towns and the water hardness in terms of the calcium concentration (parts per million, ppm) in the drinking water. O D. For each additional point in Calcium (ppm), the model predicts an increase of 1.147 points in Mortality. d) Explain the meaning of the y-intercept of the line. O A. The model predicts that a town with 0 ppm calcium concentration would have a mortality rate of 1707.214. O B. he model predicts that a town with 0 ppm calcium concentration would have a mortality rate of -1.147. O C. The model predicts that a town with a mortality rate of 0 would have 1707.214 ppm calcium concentration. e) The largest residual has a value of 108.3. Explain what this value means. A. The town had 108.3 more deaths per 100,000 people than the model predicts. O B. The town had 108.3 fewer deaths than the model predicts. C. The town had 108.3 more deaths than the model predicts. Tho town had 108.3 fewer deaths per 100,000 people than the model predicts.

Researchers collected data on the annual mortality rate (deaths per 100,000) for males in 20 large towns and the water hardness in terms of the calcium concentration (parts per million, ppm) in the drinking water. O D. For each additional point in Calcium (ppm), the model predicts an increase of 1.147 points in Mortality. d) Explain the meaning of the y-intercept of the line. O A. The model predicts that a town with 0 ppm calcium concentration would have a mortality rate of 1707.214. O B. he model predicts that a town with 0 ppm calcium concentration would have a mortality rate of -1.147. O C. The model predicts that a town with a mortality rate of 0 would have 1707.214 ppm calcium concentration. e) The largest residual has a value of 108.3. Explain what this value means. A. The town had 108.3 more deaths per 100,000 people than the model predicts. O B. The town had 108.3 fewer deaths than the model predicts. C. The town had 108.3 more deaths than the model predicts. Tho town had 108.3 fewer deaths per 100,000 people than the model predicts.

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Description: Researchers collected data on the annual mortality rate (deaths per 100,000) for males in 20 large towns and the water hardness in terms of the calcium concentration(parts per million, ppm) in the drinking water.O D. For each additional point in Cal

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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Question

Researchers collected data on the annual mortality rate (deaths per 100,000) for males in 20 large towns and the water hardness in terms of the calcium concentration
(parts per million, ppm) in the drinking water.
O D. For each additional point in Calcium (ppm), the model predicts an increase of 1.147 points in Mortality,
d) Explain the meaning of the y-intercept of the line.
O A. The model predicts that a town with 0 ppm calcium concentration would have a mortality rate of 1707.214.
B. e model predicts that a town with 0 ppm calcium concentration would have a mortality rate of-1.147.
O C. The model predicts that a town with a mortality rate of 0 would have 1707.214 ppm calcium concentration.
e) The largest residual has a value of 108.3. Explain what this value means.
O A. The town had 108.3 more deaths per 100,000 people than the model predicts.
O B. The town had 108.3 fewer deaths than the model predicts.
O C. The town had 108.3 more deaths than the model predicts.
O D. The town had 108.3 fewer deaths per 100,000 people than the model predicts.

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