SUMMARY OUTPUT

Regression Statistics
Multiple R 0.966997
R Square 0.935084
Adjusted R 0.93009
Standard Er0.065518
Observatio 15

ANOVA
df SS MS F Significance F
Regression 1 0.803829 0.803829 187.2586 4.26E-009
Residual 13 0.055804 0.004293
Total 14 0.859633

Coefficients
Standard Error t Stat P-value Lower 95%Upper 95%
Lower 95.0%
Intercept 0.76716 0.0356 21.54959 1.48E-011 0.690251 0.844069 0.690251
X Variable -0.05358 0.003915 -13.68425 4.26E-009 -0.062039 -0.045121 -0.062039

RESIDUAL OUTPUT

ObservationPredicted Y Residuals
1 0.71358 0.03442
2 0.66 0.008
3 0.60642 0.08358
4 0.55284 -0.02284
5 0.49926 0.00174
6 0.44568 -0.00788
7 0.3921 -0.0175
8 0.33852 -0.02712
9 0.28494 -0.03674
10 0.23136 -0.04636
11 0.17778 -0.05598
12 0.1242 -0.0656
13 0.07062 -0.06602
14 0.01704 0.05076
15 -0.03654 0.16754
 X Variable 1 Line Fit Plot
4

2 Y
Y Predicted Y
0
0 2 4 6 8 10 12 14 16
-2
X Variable 1

Upper 95.0%
0.844069
-0.045121
SUMMARY OUTPUT

Regression Statistics
Multiple R 0.997854
R Square 0.995713
Adjusted R 0.995428
Standard Er0.016837
Observatio 17

ANOVA
df SS MS F Significance F
Regression 1 0.987806 0.987806 3484.315 3.53E-019
Residual 15 0.004253 0.000284
Total 16 0.992059

Coefficients
Standard Error t Stat P-value Lower 95%Upper 95%
Lower 95.0%
Intercept -0.083333 0.00782 -10.65689 2.15E-008 -0.100001 -0.066666 -0.100001
X Variable 0.049205 0.000834 59.02808 3.53E-019 0.047428 0.050981 0.047428

RESIDUAL OUTPUT

ObservationPredicted Y Residuals
1 0.70394 0.04583
2 0.654736 0.013844
3 0.605531 -0.009151
4 0.556327 -0.020567
5 0.507122 -0.023862
6 0.457917 -0.011237
7 0.408713 -0.013003
8 0.359508 -0.010628
9 0.310304 -0.003394
10 0.261099 0.002011
11 0.211894 -0.002434
12 0.16269 0.0066
13 0.113485 0.005375
14 0.06428 0.01052
15 0.015076 0.013634
16 -0.034129 0.004529
17 -0.083333 -0.008067
 X Variable 1 Line Fi
5

Y
0
0 100 200 300 400 500 600 70
X Variable 1

Upper 95.0%
-0.066666
0.050981
ble 1 Line Fit Plot

Y
Predicted Y

00 400 500 600 700 800

Regression Statistics
Multiple R 0.997854
R Square 0.995713
Adjusted R 0.995428
Standard Er0.016837
Observatio 17

ANOVA
df SS MS F Significance F
Regression 1 0.987806 0.987806 3484.315 3.53E-019
Residual 15 0.004253 0.000284
Total 16 0.992059

Coefficients
Standard Error t Stat P-value Lower 95%Upper 95%
Lower 95.0%
Intercept -0.083333 0.00782 -10.65689 2.15E-008 -0.100001 -0.066666 -0.100001
X Variable 0.049205 0.000834 59.02808 3.53E-019 0.047428 0.050981 0.047428

RESIDUAL OUTPUT

ObservationPredicted Y Residuals
1 0.70394 0.04583
2 0.654736 0.013844
3 0.605531 -0.009151
4 0.556327 -0.020567
5 0.507122 -0.023862
6 0.457917 -0.011237
7 0.408713 -0.013003
8 0.359508 -0.010628
9 0.310304 -0.003394
10 0.261099 0.002011
11 0.211894 -0.002434
12 0.16269 0.0066
13 0.113485 0.005375
14 0.06428 0.01052
15 0.015076 0.013634
16 -0.034129 0.004529
17 -0.083333 -0.008067
 X Variable 1 Line Fit Plot
5
Y
Y Predicted Y
0
0 100 200 300 400 500 600 700 800
X Variable 1

Upper 95.0%
-0.066666
0.050981
no X (T) Y (P) X^2 Y^2 XY
1 120 0.2 14400 0.04 24
2 240 0.5 57600 0.25 120
3 360 1 129600 1 360
4 480 2 230400 4 960
5 600 3.5 360000 12.25 2100
6 720 4 518400 16 2880
7 840 5 705600 25 4200
8 960 6.5 921600 42.25 6240
9 1080 7 1166400 49 7560
10 1200 8 1440000 64 9600
11 6600 37.7 5544000 213.79 34044
12 43560000 1421.29 3.0736E+013 45706.1641 1158993936
13
14 2.60866E-006
15
16
17
18

^2

Chart Title
9

0
0 200 400 600 800 10
 SUMMARY OUTPUT
40.16689 m 0.0077121212
32.13351 b -1.32 Regression Statistics
24.10014 y 0.3540030817 Multiple R
16.06676 m 0.0002002864 R Square
11.47626 b 4.720953E-005 Adjusted R Square
12.05007 Standard Error
11.24673 =m Observations
9.887235 =m
10.32863 kes. Relatif 1.694108864 ANOVA
10.04172 kes. Lit 1.5907843137
177.4979 Regression
Residual
Total

. Intercept
X Variable 1

Title

800 1000 1200 1400

egression Statistics
0.9978544214
0.9957134464
0.9954276761
0.016837483
17

df SS MS F
1 0.9878061207 0.9878061207 3484.3146777641
15 0.0042525125 0.0002835008
16 0.9920586332

Coefficients Standard Error t Stat P-value

Lower 95% Upper 95% Lower 95.0%

Regression Statistics
Multiple R 0.997854
R Square 0.995713
Adjusted R 0.995428
Standard Er0.016837
Observatio 17

ANOVA
df SS MS F Significance F
Regression 1 0.987806 0.987806 3484.315 3.53E-019
Residual 15 0.004253 0.000284
Total 16 0.992059

Coefficients
Standard Error t Stat P-value Lower 95%Upper 95%
Lower 95.0%
Intercept -0.083333 0.00782 -10.65689 2.15E-008 -0.100001 -0.066666 -0.100001
X Variable 0.049205 0.000834 59.02808 3.53E-019 0.047428 0.050981 0.047428

RESIDUAL OUTPUT

ObservationPredicted Y Residuals
1 0.70394 0.04583
2 0.654736 0.013844
3 0.605531 -0.009151
4 0.556327 -0.020567
5 0.507122 -0.023862
6 0.457917 -0.011237
7 0.408713 -0.013003
8 0.359508 -0.010628
9 0.310304 -0.003394
10 0.261099 0.002011
11 0.211894 -0.002434
12 0.16269 0.0066
13 0.113485 0.005375
14 0.06428 0.01052
15 0.015076 0.013634
16 -0.034129 0.004529
17 -0.083333 -0.008067
 X Variable 1 Line Fit Plot
Y Predicted Y

0.8
0.7
0.6
0.5
0.4
Y 0.3
0.2
0.1
0
-0.10 2 4 6 8 10 12 14
-0.2

X Variable 1
Upper 95.0%
-0.066666
0.050981
t Plot

12 14 16 18
no X Y X^2 Y^2 XY
1 16 0.74977 256 0.562155 11.99632
2 15 0.66858 225 0.446999 10.0287
3 14 0.59638 196 0.355669 8.34932
4 13 0.53576 169 0.287039 6.96488
5 12 0.48326 144 0.23354 5.79912
6 11 0.44668 121 0.199523 4.91348
7 10 0.39571 100 0.156586 3.9571
8 9 0.34888 81 0.121717 3.13992
9 8 0.30691 64 0.094194 2.45528
10 7 0.26311 49 0.069227 1.84177
11 6 0.20946 36 0.043873 1.25676
12 5 0.16929 25 0.028659 0.84645
13 4 0.11886 16 0.014128 0.47544
14 3 0.0748 9 0.005595 0.2244
15 2 0.02871 4 0.000824 0.05742
16 1 -0.0296 1 0.000876 -0.0296
17 0 -0.0914 0 0.008354 0
136 5.27516 1496 2.628959 62.27676
^2 18496 27.82731 2238016 6.911428 3878.395
no X Y x^2 Y^2 XY
1 120 0 14400 0 0
2 240 0.2 57600 0.04 48
3 360 0.5 129600 0.25 180 m
4 480 1 230400 1 480 b
5 600 1.1 360000 1.21 660 y
6 720 1.3 518400 1.69 936 m
7 840 1.5 705600 2.25 1260 b
8 960 2 921600 4 1920
9 1080 2.5 1166400 6.25 2700 =m
10 1200 3 1440000 9 3600
11 6600 13.1 5544000 25.69 11784 Kes. Relatif
12 43560000 171.61 3.1E+013 659.9761 1.4E+008 Kes. Lit
13
14
15

^2
 0.002641

es. Relatif
277.1428 16.9961 288.8674 16.97412
238.1481 55.9908 3134.97
329.1304 -34.9915 1224.405
327.1428 -33.0039 1089.257
299.1304 -4.9915 24.91507
1470.695 5762.415
294.1389 288.1207