Question

In: Statistics and Probability

How do I do this in JMP? Anova The human resources​ (HR) office is concerned that​...

How do I do this in JMP? Anova

The human resources​ (HR) office is concerned that​ health-care costs differ among several​ departments: administration,​ clerical, manufacturing, information technology​ (IT), and sales. Staff selected a sample of 15 employees of each type and found health care costs for each. Complete parts​ (a) through​ (f). Assume alpha =0.1

Department Cost
Administration 2075
Administration 2790
Administration 2690
Administration 3100
Administration 3290
Administration 3330
Administration 3790
Administration 3900
Administration 4270
Administration 4329
Administration 5240
Administration 5540
Administration 7100
Administration 9540
Administration 3290
Clerical 2810
Clerical 3450
Clerical 3590
Clerical 3640
Clerical 3755
Clerical 3910
Clerical 3920
Clerical 4005
Clerical 4240
Clerical 4580
Clerical 5230
Clerical 5770
Clerical 5880
Clerical 6840
Clerical 3325
Manufacturing 2420
Manufacturing 2490
Manufacturing 2510
Manufacturing 2660
Manufacturing 2730
Manufacturing 2800
Manufacturing 2930
Manufacturing 3010
Manufacturing 3190
Manufacturing 3250
Manufacturing 4180
Manufacturing 4330
Manufacturing 4750
Manufacturing 5030
Manufacturing 6260
IT 2980
IT 3105
IT 3210
IT 3840
IT 3910
IT 4040
IT 4829
IT 4990
IT 5010
IT 6200
IT 6550
IT 6820
IT 6939
IT 7550
IT 4350
Sales 2510
Sales 2660
Sales 2590
Sales 2630
Sales 2710
Sales 2830
Sales 2960
Sales 3120
Sales 3420
Sales 3490
Sales 3960
Sales 4040
Sales 4250
Sales 4990
Sales 5030

Fit a multiple regression of health care cost on 4 dummy variables that identify employees in​ administration, clerical,​ IT, and manufacturing. Interpret the estimated intercept and slopes

ŷ = 3413 + 872 D(admin) + 917 D(cleric) + 1542 D(IT) + 90 D(man)

.

Solutions

Expert Solution

I have sole this problem with the hellp of SPSS Software

first i will enter the data in SPSS

Fit a multiple regression of health care cost on 4 dummy variables

ŷ = 3413 + 872 D(admin) + 917 D(cleric) + 1542 D(IT) + 90 D(man)

Interpretation of intercept

if the all independent variables is zero the the values of sales is 3413

Interpretation of slope

.if the value of Administrationis inceased by one unit and all othe independent ariables is constant yhe the sales is increased by 872

if the value of Clericalinceased by one unit and all othe independent ariables is constant yhe the sales is increased by 917

if the value of Manufacturing inceased by one unit and all othe independent ariables is constant yhe the sales is increased by 1542

if the value of IT inceased by one unit and all othe independent ariables is constant yhe the sales is increased by 90


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