Use the summary statistics to calculate the regression line for this data. Explain each coefficient.What is the total amount of weight would you expect a weightlifter with a body weight of 84kg to lift?At the 5% significance level, is there evidence that the body weight of the athlete is a useful predictor for the total amount an athlete can lift? Assume the assumptions can be verified. A random sample of 90 weightlifters was collected from the A class of the 2019 European Championships held in Batumi, Georgia. We areinterested in determining if the body weight of the athlete (in kilograms) is a reasonable linear predictor for the total amount the athlete can lift(also in kilograms). Consider the following summary statistics: = 90.44467, Sz = 48955.71, SEy = 80480.74, j = 335.2222,Sn = 186513.6, and s, = 24.82.а.Use the summary statistics to calculate the regression line for this data. Explain eachcoefficient.b. What is the total amount of weight would you expect a weightlifter with a body weight of 84kgto lift?At the 5% significance level, is there evidence that the body weight of the athlete is a usefulpredictor for the total amount an athlete can lift? Assume the assumptions can be verified.с.

Given - We know the given value, x¯ = 90.44467 y¯ =335.2222 n= 90 Sxx = 48955.71…

Answered: A random sample of 90 weightlifters was…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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Use the summary statistics to calculate the regression line for this data. Explain each coefficient.
What is the total amount of weight would you expect a weightlifter with a body weight of 84kg to lift?
At the 5% significance level, is there evidence that the body weight of the athlete is a useful predictor for the total amount an athlete can lift? Assume the assumptions can be verified.

A random sample of 90 weightlifters was collected from the A class of the 2019 European Championships held in Batumi, Georgia. We are
interested in determining if the body weight of the athlete (in kilograms) is a reasonable linear predictor for the total amount the athlete can lift
(also in kilograms). Consider the following summary statistics: = 90.44467, Sz = 48955.71, SEy = 80480.74, j = 335.2222,
Sn = 186513.6, and s, = 24.82.
а.
Use the summary statistics to calculate the regression line for this data. Explain each
coefficient.
b. What is the total amount of weight would you expect a weightlifter with a body weight of 84kg
to lift?
At the 5% significance level, is there evidence that the body weight of the athlete is a useful
predictor for the total amount an athlete can lift? Assume the assumptions can be verified.
с.

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