Agriculture Reference
In-Depth Information
Step 6: Activate continue followed by OK to get
the following results (Table
12.4
).
Thus, the ultimate regression equation is the
same as was obtained by using MS Excel.
Table 12.4
Backward regression output using SPSS
Variables Entered/Removed
b
Variables
Removed
Model
Variables Entered
Method
1
x19, x4, x12, x9, x6, x5, x10, x2, x1, x18, x7, x3, x15,
x14, x13, x16, x8, x11, x17
a
.
Enter
2
.
x4
3
.
x3
4
.
x14
5
.
x1
6
.
x5
7
.
x13
8
.
x15
9
.
x2
10
.
x9
11
.
x7
12
.
x6
13
.
x8
a. All requested variables entered.
b. Dependent Variable: y
Model Summary
Std. Error
of the
Estimate
Adjusted
R Square
Model R
R Square
Variables in the equation
.997
a
1
.994
.988
7.09048
a. Predictors: (Constant), x19, x4, x12, x9, x6, x5, x10, x2, x1,
x18, x7, x3, x15, x14, x13, x16, x8, x11, x17
.997
b
2
.994
.989
6.89518
b. Predictors: (Constant), x19, x12, x9, x6, x5, x10, x2, x1, x18,
x7, x3, x15, x14, x13, x16, x8, x11, x17
.997
c
3
.994
.989
6.71770
c. Predictors: (Constant), x19, x12, x9, x6, x5, x10, x2, x1, x18,
x7, x15, x14, x13, x16, x8, x11, x17
.997
d
4
.994
.990
6.55284
d. Predictors: (Constant), x19, x12, x9, x6, x5, x10, x2, x1, x18,
x7, x15, x13, x16, x8, x11, x17
.997
e
5
.994
.990
6.43367
e. Predictors: (Constant), x19, x12, x9, x6, x5, x10, x2, x18, x7,
x15, x13, x16, x8, x11, x17
.997
f
6
.994
.991
6.32285
f. Predictors: (Constant), x19, x12, x9, x6, x10, x2, x18, x7,
x15, x13, x16, x8, x11, x17
.997
g
7
.994
.991
6.23063
g. Predictors: (Constant), x19, x12, x9, x6, x10, x2, x18, x7,
x15, x16, x8, x11, x17
.997
h
8
.994
.991
6.13770
h. Predictors: (Constant), x19, x12, x9, x6, x10, x2, x18, x7,
x16, x8, x11, x17
.997
i
9
.994
.991
6.15038
i. Predictors: (Constant), x19, x12, x9, x6, x10, x18, x7, x16,
x8, x11, x17
.997
j
10
.993
.991
6.16318
j. Predictors: (Constant), x19, x12, x6, x10, x18, x7, x16, x8,
x11, x17
.996
k
11
.993
.991
6.28617
k. Predictors: (Constant), x19, x12, x6, x10, x18, x16, x8, x11,
x17
.996
l
12
.992
.990
6.55662
l. Predictors: (Constant), x19, x12, x10, x18, x16, x8, x11, x17
.996
m
13
.992
.990
6.60326
m. Predictors: (Constant), x19, x12, x10, x18, x16, x11, x17
