**Exploring the Relationship Between Schooling and Pregnancies**A researcher is examining the relationship between the number of years of schooling completed and the number of pregnancies in young women. The research identifies a linear relationship, represented by the least squares line equation:\[\hat{y} = 5 - 1x\]Where:- $ x $ is the number of years of schooling completed- $ \hat{y} $ is the predicted number of pregnancies**Interpreting the Slope of the Regression Line:**The slope of the regression line (-1) indicates the change in the number of pregnancies for each additional year of schooling. The options for interpreting the slope are as follows:- When the amount of schooling increases by one year, the number of pregnancies decreases by 1.- When the amount of schooling increases by one year, the number of pregnancies increases by 5.- When the amount of schooling increases by one year, the number of pregnancies increases by 1.- When the amount of schooling increases by one year, the number of pregnancies decreases by 5. The correct interpretation, given the slope of -1, is that **when the amount of schooling increases by one year, the number of pregnancies decreases by 1**.

given data regression equationy^ = 5 - 1xx = number of years of schooling completedy = number of…

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: y=51xwhere 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: When amount of schooling increases by one year, the number of pregnancies decreases by 1. When amount of schooling increases by one year, the number of pregnancies increases by 5. When amount of schooling increases by one year, the number of pregnancies increases by 1. When amount of schooling increases by one year, the number of pregnancies decreases by 5.

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: y=51xwhere 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: When amount of schooling increases by one year, the number of pregnancies decreases by 1. When amount of schooling increases by one year, the number of pregnancies increases by 5. When amount of schooling increases by one year, the number of pregnancies increases by 1. When amount of schooling increases by one year, the number of pregnancies decreases by 5.

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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