Using the accompanying Cost of Living Adjustments data to find the best multiple regression model to predict the salary as a function of the adjusted cost for living rates. What would the comparable salary be for a city with the following adjustments: groceries. 5%; housing: 8%; utilities: - 2%, transportation: - 2%: and health care: 7%? Use a level of significance of 0.ó5. E Click the icon to view the Cost of Living Adjustments data table. - X Cost of living adjustments data table Determine the best multiple linear regression model to predict the salary as a function of the other rates. Select the best answer below and fil in the corresponding answer boxes to complete your choice. (Type integers or decimals rounded to three decimal places as needed.) Comparative Groceries Housing Utilities Transportation Health Salary (S) O A. Salary =+ (housing + (D utilities + transportation O B. Salary =• O housing + (Dutilitles + Dransportation + (Ohealthcare Care -0. 10 - 0.01 60.482 0.15 0.25 0.06 0.05 57.530 -0.08 0.13 -0.01 0.06 OC. Salary+O 85,904 0.16 1.41 0.45 0.11 0.33 Ogroceries + ( housing + O healthcare OD. Salary =+ (O groceries + Outities + Otransportation +O healthcare • (Dgroceries + (Dhousing + (D OF. Salary =+ (O groceries + (Ohousing + Dutities + (O OG. Salary = (groceries + ( housing + (Dutities + (Dtransportation O H. Salary =• (O groceries + (O housing + O transportation + Oheakhcare 60,904 0.18 0.22 0.11 -0.07 0.10 transportation + ) healthcare 58.012 0.11 0.05 0.02 - 0.02 0.06 70.000 0.23 0.73 0.01 0.18 0.02 OE. Salary= utilities + Ohealthcare 54,578 0.01 - 0.01 - 0.05 -0.06 -0.01 - 0.03 - 0.06 -0.08 transportation + (D healthcare 58.072 0.12 - 0.04 0.01 0.05 87,892 0.20 2.11 0.13 -0.03 65,843 0.07 -0.02 0.64 0.01 0.11 57.590 0.15 0.00 0.06 -0.01 -0.06 0,29 55,120 0.03 0.04 -0.11 0.01 83,795 0.16 1.69 0. 10 - 0. 13 - 0. 10 -0. 16 0.13 55.602 0.01 0.02 0.05 -0.08 0.08 65,060 0.16 0.43 0.10 57,530 0.10 0.24 -0.05 0.01 136,024 0.35 4.77 0.29 0.30 0.19 72.048 0.26 0.72 0.17 0.10 0.03 57,651 0.07 0.21 - 0.08 0.02 0.01 59.578 0.09 0.21 - 0.03 0.14 -0.01 77.349 0.26 1.08 -0.15 0.19 0.15 86,446 0.18 1.87 0.18 0.27 0.15 105,241 0.39 3.02 0.03 0.26 0.22 83.253 0.31 1.33 0.02 0.21 0.24 56.084 0.14 - 0.09 0.13 0.01 0.04
Using the accompanying Cost of Living Adjustments data to find the best multiple regression model to predict the salary as a function of the adjusted cost for living rates. What would the comparable salary be for a city with the following adjustments: groceries. 5%; housing: 8%; utilities: - 2%, transportation: - 2%: and health care: 7%? Use a level of significance of 0.ó5. E Click the icon to view the Cost of Living Adjustments data table. - X Cost of living adjustments data table Determine the best multiple linear regression model to predict the salary as a function of the other rates. Select the best answer below and fil in the corresponding answer boxes to complete your choice. (Type integers or decimals rounded to three decimal places as needed.) Comparative Groceries Housing Utilities Transportation Health Salary (S) O A. Salary =+ (housing + (D utilities + transportation O B. Salary =• O housing + (Dutilitles + Dransportation + (Ohealthcare Care -0. 10 - 0.01 60.482 0.15 0.25 0.06 0.05 57.530 -0.08 0.13 -0.01 0.06 OC. Salary+O 85,904 0.16 1.41 0.45 0.11 0.33 Ogroceries + ( housing + O healthcare OD. Salary =+ (O groceries + Outities + Otransportation +O healthcare • (Dgroceries + (Dhousing + (D OF. Salary =+ (O groceries + (Ohousing + Dutities + (O OG. Salary = (groceries + ( housing + (Dutities + (Dtransportation O H. Salary =• (O groceries + (O housing + O transportation + Oheakhcare 60,904 0.18 0.22 0.11 -0.07 0.10 transportation + ) healthcare 58.012 0.11 0.05 0.02 - 0.02 0.06 70.000 0.23 0.73 0.01 0.18 0.02 OE. Salary= utilities + Ohealthcare 54,578 0.01 - 0.01 - 0.05 -0.06 -0.01 - 0.03 - 0.06 -0.08 transportation + (D healthcare 58.072 0.12 - 0.04 0.01 0.05 87,892 0.20 2.11 0.13 -0.03 65,843 0.07 -0.02 0.64 0.01 0.11 57.590 0.15 0.00 0.06 -0.01 -0.06 0,29 55,120 0.03 0.04 -0.11 0.01 83,795 0.16 1.69 0. 10 - 0. 13 - 0. 10 -0. 16 0.13 55.602 0.01 0.02 0.05 -0.08 0.08 65,060 0.16 0.43 0.10 57,530 0.10 0.24 -0.05 0.01 136,024 0.35 4.77 0.29 0.30 0.19 72.048 0.26 0.72 0.17 0.10 0.03 57,651 0.07 0.21 - 0.08 0.02 0.01 59.578 0.09 0.21 - 0.03 0.14 -0.01 77.349 0.26 1.08 -0.15 0.19 0.15 86,446 0.18 1.87 0.18 0.27 0.15 105,241 0.39 3.02 0.03 0.26 0.22 83.253 0.31 1.33 0.02 0.21 0.24 56.084 0.14 - 0.09 0.13 0.01 0.04
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Using the accompanying Cost of Living Adjustments data to find the best multiple regression model to predict the salary as a function of the adjusted cost for living rates. What would the comparable salary be for a city with the following adjustments: groceries: 5%; housing: 8%; utilities: - 2%; transportation: - 2%; and health
care: 7%? Use a level of significance of 0.05.
E Click the icon to view the Cost of Living Adjustments data table.
Cost of living adjustments data table
Determine the best multiple linear regression model to predict the salary as a function of the other rates. Select the best answer below and fill in the corresponding answer boxes to complete your choice.
(Type integers or decimals rounded to three decimal places as needed.)
Comparative Groceries Housing Utilities Transportation
Salary ($)
Health
O A. Salary =
+ (O housing + O utilities +
transportation
Care
- 0.10
- 0.01
60,482
0.15
0.25
0.06
0.05
O B.
Salary =
+ ( housing +
) utilities +
Dtransportation +
healthcare
57,530
- 0.08
0.13
- 0.01
0.06
O C. Salary =
groceries +
housing + (O healthcare
85,904
0.16
1.41
0.45
0.11
0.33
- 0.07
- 0.02
60,904
0.18
0.22
0.11
0.10
OD.
Salary =
+
groceries +
utilities +
Dtransportation +
healthcare
58,012
0.11
0.05
0.02
0.06
70,000
0.23
0.73
0.01
0.18
0.02
O E. Salary =
+
groceries +
housing +
healthcare
utilities +
54,578
0.01
- 0.01
- 0.05
- 0.06
- 0.01
O F. Salary =
58,072
- 0.04
- 0.03
+ (Dgroceries +
housing +
utilities +
transportation +
healthcare
0.12
0.01
0.05
- 0.06
- 0.08
87,892
0.20
2.11
0.13
- 0.03
O G. Salary =
utilities + ( ) transportation
+
groceries +
housing +
65,843
0.07
0.64
0.01
0.11
O H. Salary =
| transportation +
57,590
-0.02
0.15
0.00
0.06
- 0.01
groceries + housing +
healthcare
55, 120
0.03
0.04
- 0.11
- 0.06
0.01
83,795
0.16
1.69
0.10
0.29
0.13
55,602
0.01
0.02
- 0.13
0.05
- 0.08
65,060
0.16
0.43
- 0.10
0.10
0.08
57,530
0.10
0.24
- 0.16
- 0.05
0.01
136,024
0.35
4.77
0.29
0.30
0.19
72,048
0.26
0.72
0.17
0.10
0.03
- 0.08
- 0.03
- 0.15
57,651
0.07
0.21
0.02
0.01
59,578
0.09
0.21
0.14
- 0.01
77,349
0.26
1.08
0.19
0.15
86,446
0.18
1.87
0.18
0.27
0.15
105.241
0.39
3.02
0.03
0.26
0.22
83,253
0.31
1.33
0.02
0.21
0.24
56,084
0.14
- 0.09
0.13
0.01
0.04
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