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 universities. The data are stored in the accompanying table. b. Assuming a linear relationship, use the least-squares method to determine the regression coefficients b0 and b1. (Round the value of b0 to the nearest integer as needed. Round the value of b1 to two decimal places as needed.) c. Interpret the meaning of the slope, b1, 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.)
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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 universities. The data are stored in the accompanying table.
b. Assuming a linear relationship, use the least-squares method to determine the regression coefficients b0 and b1.
(Round the value of b0 to the nearest integer as needed. Round the value of b1 to two decimal places as needed.)
![Program Per-Year
Tuition ($)
Mean Starting Salary
Upon Graduation ($)
155,427
62,759
66,176
65,957
68,998
65,959
67,888
66,808
68,082
64,656
62,878
67,866
61,916
61,964
57,138
55,816
54,191
55,523
50,497
53,033
49,856
46,401
46,902
157,520
148,022
142,256
141,545
154,535
147,262
147,951
138,614
146,726
142,826
145,201
138,764
138,282
121,662
115,983
127,888
131,067
129,324
120,994
116,031
110,963
109,351
111,006
48,464
45,163
39,054
48,847
46,529
79,794
81,486
102,851](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6e9f74db-68ca-409f-99ca-c3b15e89955c%2Faebdd0b9-96b4-44f7-9d32-58d6d69ead86%2Fib5kno_processed.jpeg&w=3840&q=75)
![138,614
146,726
142,826
145,201
138,764
138,282
121,662
115,983
127,888
64,656
62,878
67,866
61,916
61,964
57,138
55,816
54,191
55,523
50,497
53,033
49,856
46,401
46,902
48,464
45,163
39,054
48,847
46,529
49,873
39,186
32,106
41,818
42,927
131,067
129,324
120,994
116,031
110,963
109,351
111,006
79,794
81,486
102,851
78,855
88,851
75,487
76,363
53,580
63,332
101,603
54,140
50,764
35,434
21,702
40,017
37,869
81,339
54,815](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6e9f74db-68ca-409f-99ca-c3b15e89955c%2Faebdd0b9-96b4-44f7-9d32-58d6d69ead86%2F5quwjan_processed.jpeg&w=3840&q=75)
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