The table below shows computer output from a linear regression analysis on the data. Predictor Coef SE Coef Constant 34.018 4.455 7.64 0.000 Semesters 1.1594 0.3482 3.33 0.003 S=7.37702 R-Sq = 33.5%...

Extracted text: The table below shows computer output from a linear regression analysis on the data. Predictor Coef SE Coef Constant 34.018 4.455 7.64 0.000 Semesters 1.1594 0.3482 3.33 0.003 S=7.37702 R-Sq = 33.5% R-Sq(adj) = 30.5% (b) What is the value of the slope of the least squares regression line? Interpret the slope in the context of this situation. (c) What is the value of the coefficient of determination? Interpret the coefficient of determination in the context of this situation. (d) Interpret s in the context of this situation.


Extracted text: 12. A newspaper in Germany reported that the more semesters needed to complete an academic program at the university, the greater the starting salary in the first year of a job. The report was based on a study that used a random sample of 24 people who had recently completed an academic program. Information was collected on the number of semesters each person in the sample needed to complete the program and the starting salary, in thousands of euros, for the first year of a job. The data are shown in the scatterplot below. 70 65 60 55 50 45 40 35 30- 25 15 20 Number of Semesters 10 (a) Does the scatterplot support the newspaper report about number of semesters and starting salary? Justify your answer. Starting Salary (1,000 curos)