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Topic: Interpretation of coefficients in multiple regressions which model
linear dependence on an IV

Replies: 146   Last Post: Dec 15, 2012 6:44 PM

 Messages: [ Previous | Next ]
 Halitsky Posts: 600 Registered: 2/3/09
I think I may have found something relevant to Aubqe
“het-ness” and heteroscedasticity

Posted: Dec 13, 2012 1:33 PM

I think I may have found something relevant to Aubqe ?het-ness? and
heteroscedasticity

If you:

a) plot the two lines given by the first table below (call this the S-
plot)

b) plot the two lines given by the second table below (call this the C-
plot)

I THINK you?ll agree that the S-plot and C-plot must be adjudged as
different by the IOT test. (I?ve sent you a PDF of the two plots
offline so you can see if you?re looking at what I?m looking at.)

If you do agree with this conclusion, I?ll explain what?s been
plotted, since it may be relevant to your consideration of Aubqe ?het-
ness? and heteroscedasticity.

For S-Plot:

Cell,N,R

1,0.004293565,0.000503944
2,0.009398,0.00118415
3,0.019790086,0.041027523
4,0.021645402,0.052112332
5,0.041148681,0.054021335
6,0.056848093,0.057693811
7,0.169920851,0.068659527
8,0.236373,0.083710757
9,0.248019846,0.094021303
10,0.277783068,0.130456898
11,0.281488299,0.21540961
12,0.287886,0.236780945
13,0.299769,0.236936513
14,0.299875026,0.269875322
15,0.360314613,0.294476424
16,0.370746358,0.315561395
17,0.406029587,0.319462902
18,0.43289,0.327971706
19,0.465398176,0.463861812
20,0.482382234,0.479255866
21,0.530897822,0.564392402
22,0.559333624,0.577382726
23,0.626424347,0.579430243
24,0.702399,0.588970805
25,0.741387901,0.61542756
26,0.768317356,0.629984706
27,0.820922877,0.698570658
28,0.831159936,0.719544247
29,0.832584062,0.732798731
30,0.88900441,0.813873971
31,0.893789589,0.883957837
32,0.894253162,0.888276157
33,0.935126553,0.888377668
34,0.977748076,0.917545651
35,0.980182674,0.977990461
36,0.984220184,0.980356048

For C-plot:

Cell,N,R

1,0.000147868,0.00011982
2,0.000235407,0.012214573
3,0.002576217,0.029133944
4,0.020854486,0.048936138
5,0.023919,0.05764761
6,0.041120964,0.05865896
7,0.042472596,0.064182305
8,0.059794,0.088376406
9,0.079939524,0.107473805
10,0.087268176,0.147682873
11,0.13125994,0.162392478
12,0.17489924,0.181759433
13,0.180724763,0.201847347
14,0.185042614,0.210439736
15,0.207785097,0.226305355
16,0.21197145,0.227038784
17,0.228176227,0.255699197
18,0.252242125,0.288864935
19,0.275296878,0.302035139
20,0.305134999,0.312164668
21,0.309388442,0.388447922
22,0.332112292,0.397416524
23,0.361024514,0.434182601
24,0.41780334,0.438280224
25,0.423432022,0.516128733
26,0.476818276,0.614130775
27,0.542145,0.675962212
28,0.559098289,0.689950901
29,0.581960315,0.735779895
30,0.619627105,0.778392333
31,0.646265173,0.800207872
32,0.74717756,0.870729822
33,0.757530416,0.911149831
34,0.884119,0.93512393
35,0.900867429,0.941162349
36,0.938430375,0.986071449

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