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Tema 2: Analiza discriminant
Analiza discriminantului este o tehnică pentru a analiza caracteristicile care diferenţiază membrii unui grup. În scopul estimării, analiza discriminant furnizează o metoda cu ajutorul careia putem determina în care grup este cel mai probabil ca o observaţie sa se încadreze.
DISCRIMINANT /GROUPS=type(1 3) /VARIABLES=sales resale price engine_s horsepow wheelbas width length curb_wgt fuel_cap mpg /ANALYSIS ALL /SAVE=CLASS SCORES PROBS /PRIORS SIZE /STATISTICS=MEAN STDDEV UNIVF COEFF RAW CORR GCOV TCOV /PLOT=COMBINED MAP /CLASSIFY=NONMISSING POOLED MEANSUB.
Discriminant
Notes
Output Created 17-Nov-2009 23:04:50
Comments
Input Data D:Pogancar_sales.sav
Active Dataset DataSet1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 157
Missing Value Handling Definition of Missing User-defined missing values are treated as missing in the analysis phase.
Cases Used In the analysis phase, cases with no user- or system-missing values for any predictor variable are used. Cases with user-, system-missing, or out-of-range values for the grouping variable are always excluded.
Syntax DISCRIMINANT
/GROUPS=type(1 3)
/VARIABLES=sales resale price engine_s horsepow wheelbas width length curb_wgt fuel_cap mpg
/ANALYSIS ALL
/SAVE=CLASS SCORES PROBS
/PRIORS SIZE
/STATISTICS=MEAN STDDEV UNIVF COEFF RAW CORR GCOV TCOV
/PLOT=COMBINED MAP
/CLASSIFY=NONMISSING POOLED MEANSUB.
Resources Processor Time 0:00:00.671
Elapsed Time 0:00:00.711
Variables Created or Modified Dis_2 Predicted Group for Analysis 1
Dis1_3 Discriminant Scores from Function 1 for Analysis 1
Dis2_3 Discriminant Scores from Function 2 for Analysis 1
Dis1_4 Probabilities of Membership in Group 1 for Analysis 1
Dis2_4 Probabilities of Membership in Group 2 for Analysis 1
Dis3_4 Probabilities of Membership in Group 3 for Analysis 1
Number of unweighted cases written to the working file after classification 157
Dis_2=variabila care dă prognoza unui caz la un anumit grup
Dis1_3=variabila care ne dă scorul funcţiei discriminant 1 ;
Dis2_3=variabila care ne dă scorul funcţiei discriminant 2 ;
Dis1_4=variabila care ne dă probabilitatea ca un caz să aparţină gupului Coupe;
Dis2_4=variabila care ne dă probabilitatea ca un caz să aparţină gupului Sedan;
Dis3_4=variabila care ne dă probabilitatea ca un caz să aparţină gupului SUV ( Sport Utility Vehicle);
[DataSet1] D:Pogancar_sales.sav
Analysis Case Processing Summary
Unweighted Cases N Percent
Valid 117 74,5
Excluded Missing or out-of-range group codes 0 ,0
At least one missing discriminating variable 40 25,5
Both missing or out-of-range group codes and at least one missing discriminating variable 0 ,0
Total 40 25,5
Total 157 100,0
Group Statistics
Vehicle type Valid N (listwise)
Mean Std. Deviation Unweighted Weighted
Coupe Sales in thousands 36,29694 41,564740 31 31,000
4-year resale value 20,66790 14,196837 31 31,000
Price in thousands 28,55445 15,336244 31 31,000
Engine size 3,10000 ,765071 31 31,000
Horsepower 191,32258 52,187091 31 31,000
Wheelbase 106,75161 6,765248 31 31,000
Width 71,10968 2,863023 31 31,000
Length 187,14839 11,953824 31 31,000
Curb weight 3,38590 ,535430 31 31,000
Fuel capacity 17,69355 2,970739 31 31,000
Fuel efficiency 23,90323 3,300049 31 31,000
Sedan Sales in thousands 54,43404 54,730298 54 54,000
4-year resale value 16,89093 10,415197 54 54,000
Price in thousands 24,88122 14,197122 54 54,000
Engine size 2,77407 ,908905 54 54,000
Horsepower 171,90741 53,831066 54 54,000
Wheelbase 106,99444 6,721085 54 54,000
Width 70,75370 3,312510 54 54,000
Length 187,60370 13,515595 54 54,000
Curb weight 3,19854 ,543295 54 54,000
Fuel capacity 16,87407 3,128698 54 54,000
Fuel efficiency 25,61111 4,235593 54 54,000
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