What is.the multiple linear regression equation for predicting Annual Income (as the response variable) from the other three variables?

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A survey conducted by a research team was to investigate how the education level,
tenure in current employment, and age, are related to annual income. A small sample
employees is selected and the data is given below.
Education Tenure Age Annual Income
17
12
20
40 124000
41 30000
12
44 193000
42 88000
45 140000
14
4
16
13
11
20
19
17
42 11000
18 21000
40 151000
35 124000
7
4
7
What is.the multiple linear regression equation for predicting Annual Income (as the
response variable) from the other three variables?
Note: Coefficients are rounded to nearest whole number.
Annual Income = -189267 + 17806 Education - 3768 Tenure + 918 Age
Annual Income = -200892 + 13834 Education - 4355 Tenure + 3204 Age
Annual Income = -199892 + 12949 Education 1629 Tenure + 3030 Age
Annual Income = -179145+ 16163 Education - 4020 Tenure + 1554 Age
DELL
F11
8.
Transcribed Image Text:A survey conducted by a research team was to investigate how the education level, tenure in current employment, and age, are related to annual income. A small sample employees is selected and the data is given below. Education Tenure Age Annual Income 17 12 20 40 124000 41 30000 12 44 193000 42 88000 45 140000 14 4 16 13 11 20 19 17 42 11000 18 21000 40 151000 35 124000 7 4 7 What is.the multiple linear regression equation for predicting Annual Income (as the response variable) from the other three variables? Note: Coefficients are rounded to nearest whole number. Annual Income = -189267 + 17806 Education - 3768 Tenure + 918 Age Annual Income = -200892 + 13834 Education - 4355 Tenure + 3204 Age Annual Income = -199892 + 12949 Education 1629 Tenure + 3030 Age Annual Income = -179145+ 16163 Education - 4020 Tenure + 1554 Age DELL F11 8.
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