The following data are the monthly salaries y and the grade point averages x for students...
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The following data are the monthly salaries y and the
grade point averages x for students who obtained a
bachelor's degree in business administration.
The estimated regression equation for these data is ŷ = -931.8 + 1,431.8x and MSE =187,727. a. Develop a point estimate of the starting
salary for a student with a GPA of 3.0 (to 1 decimal). b. Develop a 95% confidence interval for the
mean starting salary for all students with a 3.0 GPA (to 2
decimals). c. Develop a 95% prediction interval for Ryan
Dailey, a student with a GPA of 3.0 (to 2 decimals). |
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The following data are the monthly salaries y and the
grade point averages x for students...
The following data are the monthly salaries y and the grade point averages x for students...
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA Monthly Salary ($) 2.7 3,500 3.4 3,900 3.7 4,300 3.2 3,800 3.5 4,100 2.7 2,300 The estimated regression equation for these data is ŷ = -931.8 + 1,431.8x and MSE =187,727. a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal). $ b. Develop a...
The following data are the monthly salaries y and the grade point averages x for students...
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration GPA 2.7 3.4 3.7 3.1 3.4 2.9 Monthly Salary ($) 3,500 3,800 4,300 3,800 4,200 2,300 The estimated regression equation for these data is y- -726.5 1,367.6x and MSE 335,772 a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal) b. Develop a 95% confidence interval...
The following data are the monthly salaries y and the grade point averages x for students...
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA 2.7 3.5 3.7 3.2 3.4 2.7 Monthly Salary () 3,500 3,900 4,200 3,700 4,100 2,500 The estimated regression equation for these data is y-313.6+1,238.6x and MSE-141,222 a. Developa point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal) b. Develop a 95% confidence interval for the mean sta...
The following data are the monthly salaries y and the grade point averages x for students...
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA 2.6 3.4 3.7 3.1 3.5 2.9 Monthly Salary (S) 3,600 3,800 4,200 3,700 4,100 2,500 The estimated regression equation for these data is y- 564.3 +964.3x and MSE-268,482. a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal). b. Develop a 95% confidence interval for...
The following data are the monthly salaries y and the grade point averages x for students...
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA 2.6 3.4 3.6 3.1 3.4 3.1 Monthly Salary ($) 3,500 3,800 4,200 3,800 4,100 2,500 The estimated regression equation for these data is y 914.5 854.8x and MSE 360,484. a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal). b. Develop a 95% confidence interval...
the following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA Monthly Salary ($) 2.7 3,500 3.4 3...
the following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA Monthly Salary ($) 2.7 3,500 3.4 3,800 3.7 4,200 3.2 3,700 3.5 4,200 2.7 2,500 The estimated regression equation for these data is = -422.7 + 1,272.7x and MSE =137,386. a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal). $ b. Develop a 95%...
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The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration.GPAMonthly Salary ($)2.63,5003.43,9003.64,3003.23,7003.54,2002.92,300The estimated regression equation for these data is = -544.6 + 1,310.8x and MSE =340,878. Use Table 1 of Appendix B.a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal).$b. Develop a 95% confidence interval for the mean starting salary for all students with a 3.0 GPA (to 2 decimals).$ ( , )c. Develop a...
Name Economics 5 Ch 13 and 14 Practice Part 2 The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration...
Name Economics 5 Ch 13 and 14 Practice Part 2 The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. answer key -Edited a Search Obser- GPA index xyi (x,-司 Salaryxi-Xyv-V) 0.36 3301.3 -348.7 121558.2 1.8 122500 100.043766.2116.2 13505.216627626.4 2500 0.16 3882.4 232.4 54022.8 117.6 13823.2122500 0.0 -150.0 22498.8 22500 0.09 3824.3174.3 30387.5 75.7 5727.5 62500 210 2.6 3300 0.6 350 1.3 3.4 3600 02 -50...
Name Economics 5 Ch 13 Practice The follo wing data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administ ration Obser vatio...
Name Economics 5 Ch 13 Practice The follo wing data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administ ration Obser vation index xi 2.6 3300 3.4 3600 3.6 4000 3.2 3500 3.5 3900 2.9 3600 TSS Totals SSR SSE 1. Calculate and y 2. Use the least squares method to develop the estimated regression equation. Use two decimal points in your answers for bo and bi. 3....
Problem #6: The grade point averages (GPAs) of a large population of college students are approximately...
Problem #6: The grade point averages (GPAs) of a large population of college students are approximately normally distributed with mean 2.5 and standard deviation 0.80. (a) What proportion of the students will possess a GPA greater than 3.0? (b) Suppose that 10 students are randomly selected from the student body. What is the probability that atmost 4 among 10 will possess a GPA greater than 3.0? (c) What would be the maximum GPA so that only 10% of the students...
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration GPA 2.7 3.4 3.7 3.1 3.4 2.9 Monthly Salary ($) 3,500 3,800 4,300 3,800 4,200 2,300 The estimated regression equation for these data is y- -726.5 1,367.6x and MSE 335,772 a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal) b. Develop a 95% confidence interval...
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA 2.7 3.5 3.7 3.2 3.4 2.7 Monthly Salary () 3,500 3,900 4,200 3,700 4,100 2,500 The estimated regression equation for these data is y-313.6+1,238.6x and MSE-141,222 a. Developa point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal) b. Develop a 95% confidence interval for the mean sta...
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA 2.6 3.4 3.7 3.1 3.5 2.9 Monthly Salary (S) 3,600 3,800 4,200 3,700 4,100 2,500 The estimated regression equation for these data is y- 564.3 +964.3x and MSE-268,482. a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal). b. Develop a 95% confidence interval for...
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA 2.6 3.4 3.6 3.1 3.4 3.1 Monthly Salary ($) 3,500 3,800 4,200 3,800 4,100 2,500 The estimated regression equation for these data is y 914.5 854.8x and MSE 360,484. a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal). b. Develop a 95% confidence interval...
Name Economics 5 Ch 13 and 14 Practice Part 2 The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. answer key -Edited a Search Obser- GPA index xyi (x,-司 Salaryxi-Xyv-V) 0.36 3301.3 -348.7 121558.2 1.8 122500 100.043766.2116.2 13505.216627626.4 2500 0.16 3882.4 232.4 54022.8 117.6 13823.2122500 0.0 -150.0 22498.8 22500 0.09 3824.3174.3 30387.5 75.7 5727.5 62500 210 2.6 3300 0.6 350 1.3 3.4 3600 02 -50...
Name Economics 5 Ch 13 Practice The follo wing data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administ ration Obser vation index xi 2.6 3300 3.4 3600 3.6 4000 3.2 3500 3.5 3900 2.9 3600 TSS Totals SSR SSE 1. Calculate and y 2. Use the least squares method to develop the estimated regression equation. Use two decimal points in your answers for bo and bi. 3....
Problem #6: The grade point averages (GPAs) of a large population of college students are approximately normally distributed with mean 2.5 and standard deviation 0.80. (a) What proportion of the students will possess a GPA greater than 3.0? (b) Suppose that 10 students are randomly selected from the student body. What is the probability that atmost 4 among 10 will possess a GPA greater than 3.0? (c) What would be the maximum GPA so that only 10% of the students...
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