Question

In: Statistics and Probability

Thompson Photo Works purchased several new, highly sophisticated processing machines. The production department needed some guidance...

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 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 y x1 x2 x3 x4
Mike Miraglia 110 3 385 128 44
Sue Trythall 120 10 347 117 30

The equation is:

yˆ y⁢^⁢  = 10.4 + 0.3x1 + 0.686x2 + 0.412x3 + 0.003x4

As age increases by one year, how much does estimated performance on the new machine increase?

Carl Knox applied for a job at Photo Works. He has been in the business for 5 years and scored 290 on the mechanical aptitude test. Carl’s prior on-the-job performance rating is 90, and he is 39 years old. Estimate Carl’s performance on the new machine. (Round your answer to 3 decimal places.)

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Expert Solution

Result:

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 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

y

x1

x2

x3

x4

Mike Miraglia

110

3

385

128

44

Sue Trythall

120

10

347

117

30

The equation is:

yˆ   = 10.4 + 0.3x1 + 0.686x2 + 0.412x3 + 0.003x4

As age increases by one year, how much does estimated performance on the new machine increase?

Regression coefficient for age = 0.003

As age increases by one year, estimated performance on the new machine increase by 0.003

Carl Knox applied for a job at Photo Works. He has been in the business for 5 years and scored 290 on the mechanical aptitude test. Carl’s prior on-the-job performance rating is 90, and he is 39 years old. Estimate Carl’s performance on the new machine. (Round your answer to 3 decimal places.)

When

Length of Time in Industry =5

Mechanical Aptitude Score =290

Prior On-the-Job Performance=90

Age=39

Predicted Performance on New Machine

yˆ  = 10.4 + 0.3*5 + 0.686*290 + 0.412*90 + 0.003*39

=248.037


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