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The following bivariate data represents a report about the x: time (in years) and y: the average height of a person can jump (in cm): [Hint: better if you start with expanding the table with multiple columns when you take the transpose of this one) X 10+E 20+F 30+G 40+H 50+I y 20 60 80 70 60 a) Find the least squares estimate of the regression line with assuming that the simple linear regression is valid. (Find the regression equation). b) Estimate an average jump height when the person's age becomes 35 based on your regression model with 95% confidence interval.

The following bivariate data represents a report about the x: time (in years) and y: the average height of a person can jump (in cm): [Hint: better if you start with expanding the table with multiple columns when you take the transpose of this one) X 10+E 20+F 30+G 40+H 50+I y 20 60 80 70 60 a) Find the least squares estimate of the regression line with assuming that the simple linear regression is valid. (Find the regression equation). b) Estimate an average jump height when the person's age becomes 35 based on your regression model with 95% confidence interval.

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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E = 8

F = 0

G = 4

H = 2

I = 8

3G 09:34 Siz Az önce The following bivariate data represents a report about the x: time (in years) and y: the average height of a person can jump (in cm): [Hint: better if you start with expanding the table with multiple columns when you take the transpose of this one) X 10+E 20+F 30+G 40+H 50+I y 20 60 80 70 60 a) Find the least squares estimate of the regression line with assuming that the simple linear regression is valid. (Find the regression equation). b) Estimate an average jump height when the person's age becomes 35 based on your regression model with 95% confidence interval.
Transcribed Image Text:3G 09:34 Siz Az önce The following bivariate data represents a report about the x: time (in years) and y: the average height of a person can jump (in cm): [Hint: better if you start with expanding the table with multiple columns when you take the transpose of this one) X 10+E 20+F 30+G 40+H 50+I y 20 60 80 70 60 a) Find the least squares estimate of the regression line with assuming that the simple linear regression is valid. (Find the regression equation). b) Estimate an average jump height when the person's age becomes 35 based on your regression model with 95% confidence interval.
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