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? In order to explore further the factors needed to estimate performance on the new processing machines, four variables were listed:

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 as y.

Thirty employees were selected at random. Data were collected for each, and their performances on the new machines were recorded. A few results are: Performance on New Machine, Length of Time in Industry. Mechanical Aptitude Score, Prior On-the-Job Performance. Age. Name X1 X3 XA Mike Miraglia 115 375 124 43 Sue Trythall 115 306 121 30 The equation is: y = 10.7 + 0.1x1 + 0.586x2 + 0.312x3 + 0.006x4 a. What is this equation called? Multiple regression equation OMultiple standard error of estimate O Coefficient of determination b. How many dependent and independent variables are there? dependent, independentC. What is the number 0.586 called? ORegression coefficient O Coefficient of determination Homoscedasticity OMulticollinearity 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 9 years and scored 330 on the mechanical aptitude test. Carl's prior on-the-job performance rating is 75, and he is 63 years old. Estimate Carl's performance on the new machine. (Round your answer to 3 decimal places.) Estimated performane