Lock, Statistics: Unlocking the Power of Data, 2e Hele I Grace Period: 1 days le

Question

Lock, Statistics: Unlocking the Power of Data, 2e Hele I Grace Period: 1 days leftI Register Now PRINTtR VERSION BACK NEXT ASSIGNMENT RESOURCES Chapter 2, Section 6, Exercise 200 Two variables are defined, a regression equation is given, and one data point is given. Chapter 2, Se rdse 20 Chapter 2, Section 6 Hgt height in inches Age-age in years of a child Hgt = 24.7 +2.79(Age) The data point is a child 12 years old who is 60 inches tall. (a) Find the predicted value for the data point and compute the residual. Chapter P.Section 1. Exercise 002 Chapter P. Section 1 Enter the exact answers Predicted va inches Chapter P.Section 1. Exercise 032 Chapter P,Section 1 Residual : inches Chapter P. Section3 (b) Interpret the slope in context. Chapter P, Section 3 Review Score Review Results by Study Obisctive O Given a one year increase in Age, expected change in Hgt is 2.79 inches. O Given a one inch increase in Hgt, expected change in Age is 2.79 years. O Given a 2.79 change in Hgt, Age will increase by 24.7 (c) Does the intercept make sense in this context? No

Explanation / Answer

(a)

The predicted value = 24.7 + 2.79 * 12 = 58.18 inches

Residual = 60 - 58.18 = 1.82 inches

(b)

Given a one year increase in age, expected change in height is 2.79 inches

Answer = 1st option

(c)

The intercept makes no sense in this case.

The intercept of 24.7 means that the expected height is 24.7 inches when the age of the child is 0. But this is practically not possible and does not make sense.

Answer = No

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