In: Statistics and Probability
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.)
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