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: ˆy=3−5x 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:When amount of schooling increases by one year, the number of pregnancies tends to decrease by 3. When amount of schooling increases by one year, the number of pregnancies tends to decrease by 5. When amount of schooling increases by one year, the number of pregnancies tends to increase by 5. When amount of schooling increases by one year, the number of pregnancies tends to increase by 3. Match each scatterplot shown below with one of the four specified correlation coefficients.ÒOOOOO9000008OQa. 0.27b. -0.09c. 0.76d. -0.88

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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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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: ˆy=3−5x

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:

When amount of schooling increases by one year, the number of pregnancies tends to decrease by 3.
When amount of schooling increases by one year, the number of pregnancies tends to decrease by 5.
When amount of schooling increases by one year, the number of pregnancies tends to increase by 5.
When amount of schooling increases by one year, the number of pregnancies tends to increase by 3.