Question 1 The height of the father (y) is linearly related to the height of their sons (x). In a sample of fathers and 9-year-old sons, the following data were collected: T = 122 cm, s = 36 cm2, g =...

correct answer asap Q1Question 1<br>The height of the father (y) is linearly related to the height of their sons (x). In a<br>sample of fathers and 9-year-old sons, the following data were collected:<br>T = 122 cm, s = 36 cm2, g = 180 cm, s, = 25 cm2<br>%3D<br>%3D<br>You are also told that the covariance between x and yis 15. Which of the following<br>represents the least squares estimate of the regression line between the father's and<br>son's height?<br>O<br>y = 46.994 + 0.417x<br>Oy = 129.126 + 0.417x<br>Oy= 14 + 0.6x<br>O Cannot be determined because the sample size was not provided.<br>Oy= 106.8 + 0.6x<br>

Extracted text: Question 1 The height of the father (y) is linearly related to the height of their sons (x). In a sample of fathers and 9-year-old sons, the following data were collected: T = 122 cm, s = 36 cm2, g = 180 cm, s, = 25 cm2 %3D %3D You are also told that the covariance between x and yis 15. Which of the following represents the least squares estimate of the regression line between the father's and son's height? O y = 46.994 + 0.417x Oy = 129.126 + 0.417x Oy= 14 + 0.6x O Cannot be determined because the sample size was not provided. Oy= 106.8 + 0.6x

Jun 08, 2022
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