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Webex Meetings File Edit Share View Audio Participant Meeting Window Help Cisco Webex Meetings Chap 14 Simple Linear Regression 1. Data are gathered on each car in the motor pool, regarding number of miles driven in a given year, and maintenance costs for that year. Here is a sample of the data collected Car Number Miles Driven (X) Repair Costs (Y) 1 80,000 $1,200 29,000 $150 3 53,000 $650 4 13,000 $200 45,000 $325 a) Write the Estimated regression equation for these data b) Interpret the coefficient of regression equation c) Compute the coefficient of determination r2. d) Test the hypotheses using t test. a = 0.05 e) Test the hypotheses using F test. a = 0.05 f) Predict the repair cost if the car has been travelling for 47,200 miles (7,630 TOO APR AGES 1 MacBook 80 000 000 F1 Vida O Lecturer S. (Host) Chap 14 Simple Linear Regression 2) The following tables are output of regression analysis of monthly salaries and the grade point averages for students who obtained a bachelor's degree in business administration with a major in information systems. ANOVA MS Sig df Regression Residual SS 24,98 Total 33,49 Standard P- Coefficients 17,91 Error t Stat value Intercept 5,45 1,69 3,27 0,03 GPA 5,81 a) estimated regression equation for these data b)Compute the coefficient of determination r2. explain c) Use the t test to test the following hypotheses (a = 0.1) d) Use the F test to test the hypotheses at 0.1 level of significant e) Predict monthly salary if GPA 2.43 APR tv Webex Meetings File Edit Share View Audio Participant Meeting Window Help Cisco Webex Meetings Chap 14 Simple Linear Regression 1. Data are gathered on each car in the motor pool, regarding number of miles driven in a given year, and maintenance costs for that year. Here is a sample of the data collected Car Number Miles Driven (X) Repair Costs (Y) 1 80,000 $1,200 29,000 $150 3 53,000 $650 4 13,000 $200 45,000 $325 a) Write the Estimated regression equation for these data b) Interpret the coefficient of regression equation c) Compute the coefficient of determination r2. d) Test the hypotheses using t test. a = 0.05 e) Test the hypotheses using F test. a = 0.05 f) Predict the repair cost if the car has been travelling for 47,200 miles (7,630 TOO APR AGES 1 MacBook 80 000 000 F1 Vida O Lecturer S. (Host) Chap 14 Simple Linear Regression 2) The following tables are output of regression analysis of monthly salaries and the grade point averages for students who obtained a bachelor's degree in business administration with a major in information systems. ANOVA MS Sig df Regression Residual SS 24,98 Total 33,49 Standard P- Coefficients 17,91 Error t Stat value Intercept 5,45 1,69 3,27 0,03 GPA 5,81 a) estimated regression equation for these data b)Compute the coefficient of determination r2. explain c) Use the t test to test the following hypotheses (a = 0.1) d) Use the F test to test the hypotheses at 0.1 level of significant e) Predict monthly salary if GPA 2.43 APR tv
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Probability and Statistics for Engineers and Scientists
ISBN: 978-0495107576
3rd edition
Authors: Anthony Hayter
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