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...


A researcher wishes to examine the relationship between years of schooling completed and the number of<br>pregnancies in young women. Her research discovers a linear relationship, and the least squares line is:<br>i = 2 – 5z where x is the number of years of schooling completed and y is the number of<br>pregnancies. The slope of the regression line can be interpreted in the following way:<br>O When amount of schooling increases by one year, the number of pregnancies tends to decrease by<br>5.<br>O When amount of schooling increases by one year, the number of pregnancies tends to increase by 5.<br>O When amount of schooling increases by one year, the number of pregnancies tends to decrease by<br>ns<br>2.<br>O When amount of schooling increases by one year, the number of pregnancies tends to increase by 2.<br>urse<br>Submit Question<br>math.com/assess2/3/skip/10<br>here to search<br>R<br>

Extracted 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: i = 2 – 5z 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 5. O When amount of schooling increases by one year, the number of pregnancies tends to increase by 5. O When amount of schooling increases by one year, the number of pregnancies tends to decrease by ns 2. O When amount of schooling increases by one year, the number of pregnancies tends to increase by 2. urse Submit Question math.com/assess2/3/skip/10 here to search R

Jun 02, 2022
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