A researcher wishes to examine the relationship between years of schooling completed and the number of pregnancies in young women. Her research discovers a linear relationship, and the least squares line is: ŷ = 2 – 3x where x is the number of years of schooling completed and y is the number of pregnancies. The slope of the regression line can be interpreted in the following way: O When amount of schooling increases by one year, the number of pregnancies tends to decrease by 2. O When amount of schooling increases by one year, the number of pregnancies tends to increase by 3. O When amount of schooling increases by one year, the number of pregnancies tends to decrease by 3. O When amount of schooling increases by one year, the number of pregnancies tends to increase by 2.

A researcher wishes to examine the relationship between years of schooling completed and the number of pregnancies in young women. Her research discovers a linear relationship, and the least squares line is: ŷ = 2 – 3x where x is the number of years of schooling completed and y is the number of pregnancies. The slope of the regression line can be interpreted in the following way: O When amount of schooling increases by one year, the number of pregnancies tends to decrease by 2. O When amount of schooling increases by one year, the number of pregnancies tends to increase by 3. O When amount of schooling increases by one year, the number of pregnancies tends to decrease by 3. O When amount of schooling increases by one year, the number of pregnancies tends to increase by 2.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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