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 = 24cwhere 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 decreases by 2. When amount of schooling increases by one year, the number of pregnancies increases by 2. O When amount of schooling increases by one year, the number of pregnancies increases by 4. O When amount of schooling increases by one year, the number of pregnancies decreases by 4.
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 = 24cwhere 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 decreases by 2. When amount of schooling increases by one year, the number of pregnancies increases by 2. O When amount of schooling increases by one year, the number of pregnancies increases by 4. O When amount of schooling increases by one year, the number of pregnancies decreases by 4.
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.CR: Chapter Review Exercises
Problem 15CR: Life Expectancy The following table shows the average life expectancy, in years, of a child born in...
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Transcribed Image Text: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 = 24cwhere 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 decreases by 2.
When amount of schooling increases by one year, the number of pregnancies increases by 2.
O When amount of schooling increases by one year, the number of pregnancies increases by 4.
O When amount of schooling increases by one year, the number of pregnancies decreases by 4.
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