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 X 1 Length of time an employee was in the industry X 2 Mechanical aptitude test score X 3 Prior on the job rating X 4 Age Performance on the new machine is designatedY Thirty employees were selected at random Data were collected for each, and their performances on the new machines were recorded A few results are Name Performance on New Machine, Y Length of Time in Industry, X 1 Mechanical Aptitude Score, X 2 Prior on the Job Performance, X 3 Age, X 4 Mike Miraglia 118 5 365 130 41 Sue Trythall 120 9 342 116 25 The equation is 10 9 0 2X 1 0 686X 2 0 612X 3 0 008X 4 a What is this equation called (Click to select)Multiple regression equationMultiple standard error of estimateCoefficient of determination b How many dependent and independent variables are there (Click to select)OneTwoThreeFourFivedependent,(Click to select)OneTwoThreeFourFiveindependent c What is the number 0 612 called (Click to select)Regression coefficientCoefficient of determinationHomoscedasticityMulticollinearity d As age increases by one year, how much does estimated performance on the new machine increase (Round your answer to 3 decimal places ) e Carl Knox applied for a job at Photo Works He has been in the business for 9 years and scored 205 on the mechanical aptitude test Carls prior on the job performance rating is 85, and he is 27 years old Estimate Carls performance on the new machine (Round your answer to 3 decimal places )

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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

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 designatedY.

Thirty employees were selected at random. Data were collected for each, and their performances on the new machines were recorded. A few results are:

Name	Performance on New Machine, Y	Length of Time in Industry, X₁	Mechanical Aptitude Score, X₂	Prior on-the-Job Performance, X₃	Age, X₄
Mike Miraglia	118	5	365	130	41
Sue Trythall	120	9	342	116	25

The equation is:

= 10.9 + 0.2X₁+ 0.686X₂+ 0.612X₃+ 0.008X₄

a.	What is this equation called?

	(Click to select)Multiple regression equationMultiple standard error of estimateCoefficient of determination

b.	How many dependent and independent variables are there?

	(Click to select)OneTwoThreeFourFivedependent,(Click to select)OneTwoThreeFourFiveindependent

c.	What is the number 0.612 called?

	(Click to select)Regression coefficientCoefficient of determinationHomoscedasticityMulticollinearity

d.	As age increases by one year, how much does estimated performance on the new machine increase?(Round your answer to 3 decimal places.)

e.	Carl Knox applied for a job at Photo Works. He has been in the business for 9 years and scored 205 on the mechanical aptitude test. Carls prior on-the-job performance rating is 85, and he is 27 years old. Estimate Carls performance on the new machine.(Round your answer to 3 decimal places.)