Barman
Literacy Rate: UNESCO defines literacy as “the ability to identify, understand,
interpret, create, communication and compute, using printed and written materials
associated with varying contexts. Literacy involves a continuum of teach individuals
to achieve their goals, to develop their knowledge and to participate fully in their in
their community and wider society”.
The population commission of United Nations considers the ability to both read
and write a simple message with understanding in any language a sufficient basis
for classifying a person as literate. The Indian census has adopted this definition.
Literacy rate is the total percentage of the population of an area at a particular
time aged seven years or above who can read and write with understanding, taking
the total population aged seven years or more as the denominator.
Literacy in Dakshin Dinajpur is key for socio-economic progress and the district
literacy rate grew to 73.86%. The analysis of the table 1 reveals that in Dakshin
Dinajpur literacy rate of block Kushumandi, Harirampur, Banshihari, Tapan is low.
Literacy rate of block Balurghat, Hili are moderate and municipality Balurghat and
Gangarampur is slightly high.
Multiple Regression Analysis (Matrix Technique) :
Table 2 : Calculation table for multiple Regression Analysis
X 2
2
X 1
2
Y
X 1
X 2
X 1 Y
X 2 Y
X 1 X 2
86.60
34
14
2944.4
1212.4
476
1156
196
77.60
32
9
2483.2
698.4
288
1024
81
64.90
72
14
4672.8
908.6
1008
5184
196
78.90
220
48
17358.0
3787.2
10560
48400
2304
66.80
139
42
9285.2
2805.5
5838
19321
1764
59.50
200
39
11900
2320.5
7800
40000
1521
62.60
164
44
10266.4
2754.4
7216
26896
1936
59.50
96
25
5712
1487.5
2400
9216
625
56.30
140
41
7882
2308.3
5740
19600
1681
53.90
72
26
3880.8
1401.4
1872
5184
676
X 2 =
2
X 1 =
2
Y =
X 1 =
X 2 =
X 1 Y =
X 2 Y=
X 1 X 2 =
666.6
1169
302
76384.8
19684.3
43198
175981
10980
Source : calculated by the author
Multiple Regression Analysis (Matrix Technique): Any rectangular
arrangement of arrays arranged in columns or rows is known as matrix. It can also
be defined as a system of m*n numbers arranged in an ordered set of m rows, each
rows consisting of an ordered set of n numbers. Such a matrix is called an m*n
matrix. (Mahmood, 1998).
4