# 3.2 Correlation and Regression

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Assignment 3.2: Correlation and Regression Statistics for the Behavioral Sciences: A Brief Course • • Chapter 3: Correlation and Prediction Chapter 4: Some Key Ingredients for Inferential Statistics: The Normal Curve, Sample versus Population, and Probability Supplemental StatCrunch Tutorial Videos Video 1 Working with StatCrunch: Scatterplots https://www.youtube.com/watch?v=34cK5r1ID1g Video 2 Working with StatCrunch: Correlation Coefficients https://www.youtube.com/watch?v=nyR1vMx6CM4&feature=youtu.be Video 3 Working with StatCrunch: Bivariate (or Simple) Regression https://www.youtube.com/watch?v=bDGg5XJMG74&feature=youtu.be Correlation and Regression Follow these steps: • • Download the Correlation and Regression document (PDF). Create a new document that contains your solutions to the problems. PDF file is enclosed Correlation and Regression A survey was carried out to find the salaries for technicians working in maintenance at Atlanta International Airport. The number of years spent in education was recorded as was their yearly salary. Below in the table are the results for this survey. Education (years) Income (\$ ,000s) 8 20 12 28 10 27 20 55 16 45 18 60 13 29 12 25 16 37 14 32 a) Describe in words and statistical terms the relationship between the number of years in education and corresponding salary earned. Discuss the results in terms of this sample and the population in general. (50 points) b) If William has 16 years in education what would be the expected yearly salary? (25 points) c) If John only has 5 years of education what salary would he expect on average? (25 points) ...
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