Sol
P3 - four
main themes: demographics, employment, local direct taxation, crime.
to identify
each department, the following variables are completed: Department Number,
Department Name, Department Prefecture, Region.
a)
Explain
why the main component analysis is an appropriate choice to extract the main
factors. (2 points)
Ans-
Coefficientsa |
||||||
Model |
Unstandardized
Coefficients |
Standardized
Coefficients |
t |
Sig. |
||
B |
Std.
Error |
Beta |
||||
1 |
(Constant) |
83.028 |
20.783 |
|
3.995 |
.000 |
fisc |
-.012 |
.007 |
-.228 |
-1.778 |
.079 |
|
chom |
-202.397 |
119.606 |
-.180 |
-1.692 |
.094 |
|
crim |
-.053 |
.212 |
-.041 |
-.251 |
.803 |
|
Urbr |
61.073 |
17.250 |
.513 |
3.540 |
.001 |
|
a. Dependent Variable: Département# |
From this we can see
there is a lot of difference in the intercepts or we can interprete these as difference
in mean also.
b)
Perform
the analysis as a main component. How many factors (or components) do you
remember? What percentage of the database is represented by the factors
selected[CLD1] . (3
points))
Ans-
Statistiques |
||||||||||||||||||
|
Txcr |
etra |
Urbr |
jeun |
age |
chom |
agri |
arti |
cadre |
employ |
ouvrier |
prof |
fisc |
crim |
fe90 |
Département# |
|
|
N |
Valid |
95 |
95 |
95 |
95 |
95 |
95 |
95 |
95 |
95 |
95 |
95 |
95 |
95 |
95 |
95 |
95 |
|
Missing |
190 |
190 |
190 |
190 |
190 |
190 |
190 |
190 |
190 |
190 |
190 |
190 |
190 |
190 |
190 |
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