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Suppose that a random sample of 200 twenty-year-old men is selected from a population and that these men's height and weight are recorded. A regression of weight on height yields Weight=(-95.4336) +3.7824 x Height, R2 = 0.78, SER=9.8, where Weight is measured in pounds and Height is measured in inches. What is the regression's weight prediction for someone who is 73 inches tall? The regression's weight prediction for someone who is 73 inches tall is pounds. (Round your response two decimal places.) this man's weight? A man has a late growth spurt and grows 1.7 inches over the course of a year. What is the regression's prediction for the increase pounds. (Round your response two decimal places.) The regression's prediction for the increase in this man's weight is Suppose that instead of measuring weight and height in pounds and inches these variables are measured in centimeters and kilograms (1 in = 2.54 cm and 1 lb = 0.4536 kg). Suppose the regression equation centimeter-kilogram units is: Weight=yo + ₁ Height. The regression estimates from this new centimeter-kilogram regression are: 70 kg. (Round your response to four decimal places.) kg per cm. (Round your response to four decimal places.) (Round your response to two decimal places.) kg. (Round your response to four decimal places.) 1 = R2 = SER=

Suppose that a random sample of 200 twenty-year-old men is selected from a population and that these men's height and weight are recorded. A regression of weight on height yields Weight=(-95.4336) +3.7824 x Height, R2 = 0.78, SER=9.8, where Weight is measured in pounds and Height is measured in inches. What is the regression's weight prediction for someone who is 73 inches tall? The regression's weight prediction for someone who is 73 inches tall is pounds. (Round your response two decimal places.) this man's weight? A man has a late growth spurt and grows 1.7 inches over the course of a year. What is the regression's prediction for the increase pounds. (Round your response two decimal places.) The regression's prediction for the increase in this man's weight is Suppose that instead of measuring weight and height in pounds and inches these variables are measured in centimeters and kilograms (1 in = 2.54 cm and 1 lb = 0.4536 kg). Suppose the regression equation centimeter-kilogram units is: Weight=yo + ₁ Height. The regression estimates from this new centimeter-kilogram regression are: 70 kg. (Round your response to four decimal places.) kg per cm. (Round your response to four decimal places.) (Round your response to two decimal places.) kg. (Round your response to four decimal places.) 1 = R2 = SER=

MATLAB: An Introduction with Applications
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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Suppose that a random sample of 200 twenty-year-old men s selected from a population and that these men's height and weight are recorded. A regression of weight on height yields Weight=(-95.4336) +3.7824 x Height, R2 = 0.78, SER=9.8, where Weight is measured in pounds and Height is measured in inches. What is the regression's weight prediction for someone who is 73 inches tall? The regression's weight prediction for someone who is 73 inches tall is pounds. (Round your response to two decimal places.) A man has a late growth spurt and grows 1.7 inches over the course of a year. What is the regression's prediction for the increase in this man's weight? The regression's prediction for the increase in this man's weight is pounds. (Round your response to two decimal places.) Suppose that instead of measuring weight and height in pounds and inches these variables are measured in centimeters and kilograms (1 in = 2.54 cm and 1 lb = 0.4536 kg). Suppose the regression equation in centimeter-kilogram units is: Weight=yo + 1 Height. The regression estimates from this new centimeter-kilogram regression are: 70 = kg. (Round your response to four decimal places.) 71 = kg per cm. (Round your response to four decimal places.) R2 = (Round your response to two decimal places.) SER = kg. (Round your response to four decimal places.)
Transcribed Image Text:Suppose that a random sample of 200 twenty-year-old men s selected from a population and that these men's height and weight are recorded. A regression of weight on height yields Weight=(-95.4336) +3.7824 x Height, R2 = 0.78, SER=9.8, where Weight is measured in pounds and Height is measured in inches. What is the regression's weight prediction for someone who is 73 inches tall? The regression's weight prediction for someone who is 73 inches tall is pounds. (Round your response to two decimal places.) A man has a late growth spurt and grows 1.7 inches over the course of a year. What is the regression's prediction for the increase in this man's weight? The regression's prediction for the increase in this man's weight is pounds. (Round your response to two decimal places.) Suppose that instead of measuring weight and height in pounds and inches these variables are measured in centimeters and kilograms (1 in = 2.54 cm and 1 lb = 0.4536 kg). Suppose the regression equation in centimeter-kilogram units is: Weight=yo + 1 Height. The regression estimates from this new centimeter-kilogram regression are: 70 = kg. (Round your response to four decimal places.) 71 = kg per cm. (Round your response to four decimal places.) R2 = (Round your response to two decimal places.) SER = kg. (Round your response to four decimal places.)
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