Thompson Photo Works purchased several new, highly sophisticated processing machines. The production Multiple regression equation department needed some guidance with respect to qualifications needed by an operator. Is age a factor? Is the length of service as an operator (in years) important? To evaluate the factors needed to estimate Multiple standard error of estimate performance on the new processing machines, four variables were selected: Coefficient of determination *1 = Length of time an employee was in the industry x2 = Mechanical aptitude test score Xa = Prior on-the-job rating b. How many dependent and independent variables are there? X4 = Age Performance on the new machine is designated y. c. What is the number 0.986 called? Thirty employees were randomly selected and data were collected for each of the variables. A few results follow: multiple choice 2 Regression coefficient Performance on New Length of Time in Mechanical Prior On-the-Job Machine, Industry Aptitude Score, Performance, Age, Coefficient of determination Name X1 X2 X3 X4 Mike Homoscedasticity 112 392 119 41 Miraglia Sue Multicollinearity 117 305 127 30 Trythall d. As age increases by one year, how much does estimated performance on the new machine increase? (Round your answer to 3 The equation is: decimal places.) y yar (* = 10.3 + 0.4x1 + 0.986x2 + 0.212x3 + 0.007x4 a. What is this equation called? e. Carl Knox applied for a job at Photo Works. He has been in the business for 7 years and scored 280 on the mechanical aptitude test. Carl's prior on-the-job performance rating is 70, and he is 33 years old. Estimate Carl's performance on the new machine. (Round multiple choice 1 your answer to 3 decimal places.)