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: x1 = Length of time an employee was in the industry X2 = Mechanical aptitude test score X3 = Prior on-the-job rating X4 = 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 Prior On-the-Job Machine, Length of Time in Industry, Mechanical Aptitude Score, Performance Age, Name y X 1 X2 X3 X4 Mike Miraglia 113 348 115 44 O - Sue Trythall 112 324 127 29 The equation is y = 10.5 + 0.1x1 + 0.386X2 + 0.312X3 + 0.002x4 a. What is this equation called? Multiple regression equation Multiple standard error of estimate Coefficient of determination b. How many dependent and independent variables are there? dependent, independent. c. What is the number 0.386 called? ORegression coefficient Coefficient of determination OHomoscedasticity 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.)