The academic advisor wants to predict the typical starting salary of a graduate at a top business school using GMAT score of the school as a predictor variable. A simple linear regression of SALARY versus GMAT using the 25 data points in the table are shown below. Po = = -92040 = 228 s=3213 2.66 r = .81 df = 23 t = 6.67 34. For the situation above, write the equation of the probabilistic model of interest. 35. For the situation above, write the equation of the least squares line. 36. For the situation above, give a practical interpretation of Bo= -92040 37. For the situation above, give a practical interpretation of B₁ = 228
The academic advisor wants to predict the typical starting salary of a graduate at a top business school using GMAT score of the school as a predictor variable. A simple linear regression of SALARY versus GMAT using the 25 data points in the table are shown below. Po = = -92040 = 228 s=3213 2.66 r = .81 df = 23 t = 6.67 34. For the situation above, write the equation of the probabilistic model of interest. 35. For the situation above, write the equation of the least squares line. 36. For the situation above, give a practical interpretation of Bo= -92040 37. For the situation above, give a practical interpretation of B₁ = 228
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.2: Representing Data
Problem 22PFA
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