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0
1
2
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6
0.8 1.2 1.6 2.0 2.4
Frequency
0
1
2
3
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6
0.8 1.2 1.6 2.0 2.4
Frequency
0
1
2
3
4
5
6
7
8
28.2
28.6
29
29.4
29.8
30.2
30.6
©
©
0 5 10 15 20
0
2
4
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10
12
14
0
4
8
12
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y
y versus x
x versus y
y
x
0
4
8
12
0 5 10 15 20
y
y versus x
x versus y
y
x
y = 1.9842x - 1.2941
R2 = 0.9481
2
3
4
5
6
7
8
2 2.5 3 3.5 4 4.5
y = 29.688x
R2 = 0.9997
0
5000
10000
15000
0100 200 300 400 500
y = -2.4733x + 2.2682
R2 = 0.9974
-3
-2
-1
0
1
2
3
0 0.5 1 1.5 2
0
1
2
0 0.5 1 1.5 2
0
500
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010 20 30
y = -0.0535x + 7.5936
R2 = 0.9905
6
6.4
6.8
7.2
7.6
010 20 30
0
500
1000
1500
2000
2500
010 20 30
y = -0.0232x + 3.2979
R2 = 0.9905
2.4
2.8
3.2
3.6
010 20 30
y = 0.7266x + 0.5301
R2 = 0.9982
-1
0
1
2
3
-1 0 1 2 3
y = 3.3893x0.7266
R2 = 0.9982
0
50
100
150
200
250
300
0100 200 300 400
y = 0.3799x - 0.3821
R2 = 0.9711
0.31
0.32
0.33
0.34
0.35
0.36
0.37
1.84 1.88 1.92 1.96
y = 0.4149x0.3799
R2 = 0.9711
2.05
2.1
2.15
2.2
2.25
2.3
2.35
70 75 80 85 90
00.5 11.5 22.5
0
2000
4000
6000
y versus x
y
00.5 11.5 22.5
6
7
8
9
ln(y) versus x
x
ln(y)
0
2
4
6
8
10
12
0 1 2 3 4 5
©
28 29 30 31 32 33 34
0
1
2
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9
©
10 20 30 40 50 60 70 80
-1000
0
1000
2000
x
y
Linear Least-Squares Fit
10 20 30 40 50 60 70 80
-500
0
500
x
residual
Residual Plot
