Develop the best logistic regression model that can predict the wage by using the combination of...

Develop the best logistic regression model that can predict the wage by using the
combination of any following variables: total unit (X2), constructed unit (X3), equipment
used (X4), city location (X5) and total cost of a project (X6). Make sure that you partition
your data with 60% training test, 40% validation test, and default seed of 12345 before
running the logistic regression (15 points)

Wage - X1	Total Unit - X2	Contracted Units - X3	Equipment Used - X4	City Location - X5	Total Cost - X6
0	50	5	2	1	83680
1	25	2	3	1	73604
0	55	1	2	1	101562
0	68	3	2	1	91055
1	35	3	2	1	41790
0	24	2	2	1	75770
1	12	2	4	1	37420
0	20	1	2	1	58000
1	48	2	2	1	97800
0	36	2	3	1	73960
0	40	1	2	1	98720
1	39	4	2	1	54190
0	26	1	1	1	67800
1	25	1	4	1	66760
0	70	3	3	2	88055

Solutions

Expert Solution

The attach images details solution solved in R-software given below.

Output:

The model is not well fitted because all the explonatory variables are insignificant at 5% of level of significance. i.e(p-value > alpha value)

orchestra answered 1 year ago

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