The following table shows the starting salary and profile of a sample of 10 employees in a certain call center agency. Run a multiple regression analysis with starting salary as the dependent variable...


The following table shows the starting salary and profile of a sample of 10 employees in a certain call center agency. Run a multiple regression analysis with starting salary as the dependent variable (pesos) and GPA, years of experience and civil service ratings as the independent variables. Use .05 level of significance.What is the equation of the resulting multiple linear regression?






starting_salary = 3008.61 + 48.65*GPA + 94.79*years_of_experience + 27.36*civil_service_ratings


















starting_salary = 15000.00 + 48.65*GPA + 94.79*years_of_experience + 27.36*civil_service_ratings


















starting_salary = 15001.00 + 41.43*GPA + 84.71*years_of_experience + 37.32*civil_service_ratings


















starting_salary = 2366.77 + 130.25*GPA + 396.39*years_of_experience + 21.67*civil_service_ratings




avil<br>Years of<br>Starting salary<br>GPA<br>service<br>experience<br>ratings<br>79.5<br>78.0<br>15000 80.1<br>1<br>15000 81.2<br>1<br>15500 81.3<br>79.0<br>80.0<br>16000 82.4<br>3<br>16200 83.4<br>85.0<br>17500 87.9<br>4<br>89.9<br>18000 90.3<br>5<br>89.1<br>16,300 84.2<br>17000 87.0<br>17900 88.1<br>3<br>84.1<br>4<br>89.0<br>89.2<br>5<br>

Extracted text: avil Years of Starting salary GPA service experience ratings 79.5 78.0 15000 80.1 1 15000 81.2 1 15500 81.3 79.0 80.0 16000 82.4 3 16200 83.4 85.0 17500 87.9 4 89.9 18000 90.3 5 89.1 16,300 84.2 17000 87.0 17900 88.1 3 84.1 4 89.0 89.2 5

Jun 05, 2022
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