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Teacher Salary Regression Analysis Using Years of Experience

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Adithyacomputerscbe

A school district is using regression analysis to predict teacher salaries at elementary schools based on years of experience. Regression analysis found that salary increases linearly with years of experience, with the equation being Y = predicted salary and X = years of experience. The scatter plot and regression equation estimate the strength of the linear relationship between experience and salary.

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A large school district is reevaluating its teachers' salaries. They have decided to use regression analysis to predict mean teacher salaries at each elementary school. The researcher uses years of experience to predict salary. The resulting equation was: where Y= salary and X = years of experience. The raw data is given in the table below.a) Use Excel to develop the scatter diagram of the relationship between years of experience and salary (copy and paste your output). What can you conclude from the scatter diagram? b) Use Excel to estimate the regression equation (copy and paste your output). c) What is the correlation coefficient? d) What is the coefficient of determination and how do you interpret it?

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  • 1. A large school district is reevaluating its teachers' salaries. They have decided to use regression analysis to predict mean teacher salaries at each elementary school. The researcher uses years of experience to predict salary. The resulting equation was: where Y= salary and X = years of experience. The raw data is given in the table below.a) Use Excel to develop the scatter diagram of the relationship between years of experience and salary (copy and paste your output). What can you conclude from the scatter diagram? b) Use Excel to estimate the regression equation (copy and paste your output). c) What is the correlation coefficient? d) What is the coefficient of determination and how do you interpret it?