(a) = 914.5 +
(854.8 * 3.0) = $3478.9.
(b) 95% confidence interval = 2677.52,
4280.54.
(c) 95% prediction interval = 1629.37,
5328.70.
The following data are the monthly salaries y and the grade point averages x for students...
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration. GPA 2.6 3.4 3.7 3.1 3.5 2.9 Monthly Salary (S) 3,600 3,800 4,200 3,700 4,100 2,500 The estimated regression equation for these data is y- 564.3 +964.3x and MSE-268,482. a. Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal). b. Develop a 95% confidence interval for...
The following data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administration GPA 2.7 3.4 3.7 3.1 3.4 2.9 Monthly Salary ($) 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 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 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 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 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%...
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. 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....
The grade point averages (GPA) for 12 randomly selected college students are shown on the right. Complete parts (a) through (c) below. Assume the population is normally distributed. 2.1, 3.1, 2.6, 1.5, 0.6, 4.0, 2.1, 1.1, 3.6, 0.5, 2.1, 3.4 construct a 90% confidence interval for the population mean The grade point averages (GPA) for 12 randomly selected college students are shown on the right. Complete parts (a) through (c) 2.1 below. 1.5 Assume the population is normally distributed. 2.1...