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 = (- 98.4159)...

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Extracted text: 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 = (- 98.4159) + 3.9006 X Height, R2 = 0.8, SER= 10.1, where Weight is measured in pounds and Height is measured in inches. What is the regression's weight prediction for someone who is 68 inches tall? The regression's weight prediction for someone who is 68 inches tall is pounds. (Round your response to two decimal places.) A man has a late growth spurt and grows 1.4 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 = 70 +î1 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.) R =D. (Round your response two decimal places.) SER = kg. (Round your response to four decimal places.)