In: Statistics and Probability
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
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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