q1	q2	K	L	M
9.080447	369.3479	5.088685	8.337644	51.12123
2.470704	5.558509	3.932072	10.27748	23.67261
18.86138	1125.541	5.683827	15.7362	51.32221
2.285461	149.0699	6.889871	12.20904	26.74033
3.762539	27.16637	3.236595	14.42614	36.69342
0.726339	1.460064	3.655517	12.71206	39.36811
1.095369	20.59943	4.601638	14.90922	52.51329
0.9187	21.02307	5.494916	13.95421	27.87632
2.932365	25.29656	2.971871	16.20862	21.41812
4.499597	121.3232	5.282362	7.931463	49.45564
3.320652	1.163963	6.328916	7.398069	34.01409
5.179963	78.26681	6.503181	9.34515	37.90592
46.99844	468.546	6.663334	17.44629	54.14737
30.68335	230.6521	5.403803	12.04334	37.54329
17.92029	19.64271	5.113515	8.230351	30.26018

THIS PARTITION of a dataset contains the production data of 15 firms. Each firm used three inputs, namely capital (K), labor (L) and other material (M), to produce two outputs (91 and 92). Perform an efficiency analysis using the input- oriented' DEA method with CRS, NIRS and VRS assumptions. What are correct? Select one or more: Select one or more: The average pure technical efficiency index of all firms (rounded to the nearest 3-digit) is 0.911. The average scale efficiency index of all firms (rounded to the nearest 3-digit) is 0.403. The number of firms that are operating with IRS is 13 (to be practical, round numbers to the nearest 7-digit when you make a comparison). The number of firms that are technically efficient is 11