Program Per-YearTuition ($)64,698Mean Starting SalaryUpon Graduation ($)156,733153,916147,155144,947139,561156,123148,455149,829137,082147,744144,041145,672142,501136,136123,709118,213129,546128,557130,448119,799113,091108,897112,202109,59883,22578,56298,80478,09885,51467,80267,66669,05867,53866,53965,69069,44963,03362,10168,04563,00862,11756,49355,98254,02055,92453,09951,88149,68747,07447,58349,46145,31639,05547,81446,64851,20937,08834,22542,58442,03149,07572,01175,32550,92867,671100,95554,93833,82421,67241,50937,88482,61052,272 Pursuing an MBA is a major personal investment. Tuition and expenses associated with business school programs are costly, but the high costs come with hopes of career advancement and high salaries. A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor ofstarting salary. Data were collected for 37 full-time MBA programs offered at private universities. The data are stored in the accompanying table. Complete parts (a) through (e) below.E Click the icon to view the data on program per-year tuition and mean starting salary.a. Construct a scatter plot. Choose the correct graph below.O A.OB.Oc.OD.80,000-200,000-80,000-200,000-0-0-200,000Starting Salary (S)80,000Tuilion ($)200,000Starting Salary (S)80,000Tuilion (S)b. Assuming a linear relationship, use the least-squares method to determine the regression coefficients b, and b,.bo =0b, =0(Round the value of b, to the nearest integer as needed. Round the value of b, to two decimal places as needed.)c. Interpret the meaning of the slope, b,, in this problem. Select the correct choice below and fill in the answer box to complete your choice.(Round to the nearest dollar as needed.)O A. The approximate starting salary upon graduation when the tuition is S0 is s|.В.O B. For each increase in tuition of $100, the mean starting salary upon graduation is expected to increase by SO C. The approximate tuition when the mean starting salary is S0 is SO D. For each increase in starting salary upon graduation of $100, the mean tuition is expected to increase by S:d. Predict the mean starting salary upon graduation for a program that has a per-year tuition cost of $55,295.The predicted mean starting salary will be s(Round to the nearest dollar as needed.)e. What insights can be obtained about the relationship between program per-year tuition and starting salary upon graduation?A. There is no relationship between program per-year tuition and mean starting salary upon graduation.O B. Having a higher mean starting salary upon graduation results in a lowver program per-year tuition.OC. Mean starting salaries upon graduation tend to be higher among programs with higher per-year tuitions.O D. Having a higher mean starting salary upon graduation results in a higher program per-year tuition.O E. Mean starting salaries upon graduation tend to be lower among programs with higher per-year tuitions.starting Salary (S

Name: Program Per-YearTuition ($)64,698Mean Starting SalaryUpon Graduation
Uploaded: 2024-03-20T07:06:27.000Z
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Description: Program Per-YearTuition ($)64,698Mean Starting SalaryUpon Graduation ($)156,733153,916147,155144,947139,561156,123148,455149,829137,082147,744144,041145,672142,501136,136123,709118,213129,546128,557130,448119,799113,091108,897112,202109,59883,22578,

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Pursuing an MBA is a major personal investment. Tuition and expenses associated with business school programs are costly, but the high costs come with hopes of career advancement and high salaries. A prospective MBA student would like to examine the factors that impact starting salary upon graduation and decides to develop a model that uses program per-year tuition as a predictor of starting salary. Data were collected for 37 full-time MBA programs offered at private universites. The data are stored in the accompanying table. Complete parts (a) through (e) below m Click the icon to viewr the data on program per year tuition and mean starting salary. a. Construct a scatter plot. Choose the correct graph below. OA OB. Oc. OD. 80.000 200.000 10.000 200.000 boo Tuon 00 o00 Saring Salary ( 50.boo uon b. Assuming a linear relationship, use the least-squares method to determine the regression coeficients by and b, (Round the value of b, to the nearest integer as needed. Round the value of b, to two decimal places as needed.) e. Interpret th e meaning of the slope, b, in this problem. Select the correct choice below and fil in the answer bax to complete your choice (Round to the nearest dollar as needed) OA. The approimate starting salary upon graduation when the tution is S0 is s O B. For each increase in tuition of $100, the mean starting salary upon graduation is expected to increase by s OG The approvimate tuition when the mean starting salary is 50 is s OD. For each increase in starting salary upon graduation of $100, the mean tuition is expected to increase by S . d. Predict the mean starting salary upon graduation for a program that has a peryear tuition cost of $55 295 . The predicted mean starting salary will be sO (Round to the nearest dollar as needed) e. What insights can be obtained about the relationship between program per-year tuition and starting salary upon graduation? OA. There is no relationship between program per-year tution and mean starting salary upon graduation. O B. Having a higher mean starting salary upon graduation results in a lower program per-year tuition. OC. Mean starting salaries upon graduation tend to be higher among programs with higher per-year tuitions OD. Having a higher mean starting salary upon graduation results in a higher program per-year tuition. O E. Mean starting salaries upon graduation tend to be lower among programs with higher per-year tuitions.