Using the accompanying Cost of Living Adjustments data to find the best multiple regression model to...

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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: 3%; housing: 10%; utilities: 2%, transportation: -1%; and health care: 7%? Use a level of significance of 0.05. Click the icon to view the 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.) transportation + OA. Salary + OB. Salary OC. Salary OD. Salary OE. Salary + + + + OF. Salary OG. Salary + OH. Salary + groceries (utilities + groceries + ( housing + ( utilities+ groceries+() housing + utilities + ( housing (utilities + 4 groceries + housing+ utilities transportation+ groceries+ ( housing + ( healthcare housing+ groceries + housing+ + + utilities + transportation+ transportation healthcare transportation healthcare transportation+ ( healthcare healthcare healthcare A Comparative Salary ($) 60482 57530 85904 60904 58012 70000 54578 58072 87892 65843 57590 55120 83795 55602 65060 57530 136024 72048 57651 59578 77349 86446 105241 83253 56084 B Groceries 0.15 -0.08 0.16 0.18 0.11 0.23 0.01 0.12 0.2 0.07 -0.02 0.03 0.16 0.01 0.16 0.1 0.38 0.26 0.07 0.09 0.24 0.18 0.39 0.32 0.14 C Housing 0.25 0.13 1.41 0.22 0.05 0.73 -0.01 -0.04 2.15 0.64 0.15 0.04 1.69 0.02 0.43 0.24 4.78 0.72 0.21 0.21 1.08 1.87 3.05 1.33 -0.09 D Utilities -0.1 -0.01 0.41 0.11 0.02 0.01 -0.05 -0.03 -0.06 -0.08 0 -0.11 0.1 -0.13 -0.1 -0.14 0.25 0.17 -0.08 -0.03 -0.17 0.18 0.03 0.02 0.13 E Transportation 0.06 -0.01 0.11 -0.07 -0.02 0.18 -0.06 0.01 0.13 0.01 0.06 -0.06 0.29 0.05 0.1 -0.05 0.3 0.1 0.02 0.14 0.19 0.27 0.26 0.21 0.01 F Health Care 0.05 0.06 0.33 0.1 0.06 0.02 -0.01 0.05 -0.03 0.11 -0.01 0.01 0.13 -0.08 0.08 0.01 0.19 0.03 0.01 -0.01 0.15 0.15 0.22 0.24 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: 3%; housing: 10%; utilities: 2%, transportation: -1%; and health care: 7%? Use a level of significance of 0.05. Click the icon to view the 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.) transportation + OA. Salary + OB. Salary OC. Salary OD. Salary OE. Salary + + + + OF. Salary OG. Salary + OH. Salary + groceries (utilities + groceries + ( housing + ( utilities+ groceries+() housing + utilities + ( housing (utilities + 4 groceries + housing+ utilities transportation+ groceries+ ( housing + ( healthcare housing+ groceries + housing+ + + utilities + transportation+ transportation healthcare transportation healthcare transportation+ ( healthcare healthcare healthcare A Comparative Salary ($) 60482 57530 85904 60904 58012 70000 54578 58072 87892 65843 57590 55120 83795 55602 65060 57530 136024 72048 57651 59578 77349 86446 105241 83253 56084 B Groceries 0.15 -0.08 0.16 0.18 0.11 0.23 0.01 0.12 0.2 0.07 -0.02 0.03 0.16 0.01 0.16 0.1 0.38 0.26 0.07 0.09 0.24 0.18 0.39 0.32 0.14 C Housing 0.25 0.13 1.41 0.22 0.05 0.73 -0.01 -0.04 2.15 0.64 0.15 0.04 1.69 0.02 0.43 0.24 4.78 0.72 0.21 0.21 1.08 1.87 3.05 1.33 -0.09 D Utilities -0.1 -0.01 0.41 0.11 0.02 0.01 -0.05 -0.03 -0.06 -0.08 0 -0.11 0.1 -0.13 -0.1 -0.14 0.25 0.17 -0.08 -0.03 -0.17 0.18 0.03 0.02 0.13 E Transportation 0.06 -0.01 0.11 -0.07 -0.02 0.18 -0.06 0.01 0.13 0.01 0.06 -0.06 0.29 0.05 0.1 -0.05 0.3 0.1 0.02 0.14 0.19 0.27 0.26 0.21 0.01 F Health Care 0.05 0.06 0.33 0.1 0.06 0.02 -0.01 0.05 -0.03 0.11 -0.01 0.01 0.13 -0.08 0.08 0.01 0.19 0.03 0.01 -0.01 0.15 0.15 0.22 0.24 0.04