Thompson Photo Works purchased several new, highly sophisticated processing machines. The production 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 performance on the new processing machines, four variables were selected: *1 = Length of time an employee was in the industry *2 = Mechanical aptitude test score *3 = Prior on-the-job rating XA = Age Performance on the new machine is designated y. Thirty employees were randomly selected and data were collected for each of the variables. A few results follow. Performance on New Length of Time in Mechanical Aptitude Prior On-the-Job Machine, Industry, Score, Performance, Age, Name *1 *3 X4 Mike Miraglia 111 6 129 45 Sue Trythall 115 327 121 The equation is: y = 10.8 + 0.7*1 + 0.386*2 + 0.112x3 + 0.001x4 a. What is this equation called? O Multiple regression equation Multiple standard error of estimate O Coefficient of determination b. How many dependent and independent variables are there? dependent, independent.c. What is the number 0.386 called? O Regression coefficient O Coefficient of determination O Homoscedasticity O Multicollinearity d. As age increases by one year, how much does estimated performance on the new machine increase? (Round your answer to 3 decimal places.) The estimated performane increases by e. Carl Knox applied for a job at Photo Works. He has been in the business for 3 years and scored 310 on the mechanical aptitude test. Carl's prior on-the-job performance rating is 95, and he is 60 years old. Estimate Carl's performance on the new machine. (Round your answer to 3 decimal places.) Estimated performane