Multiple Linear Regression - Estimated Regression Equation
RioTinto[t] = -32.5248999044313 + 0.377868320188452Commodity[t] + 0.00535216266541196WorldLeaders[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-32.52489990443137.551553-4.3073.9e-052e-05
Commodity0.3778683201884520.0414989.105600
WorldLeaders0.005352162665411960.0019112.80020.0061530.003077


Multiple Linear Regression - Regression Statistics
Multiple R0.865918352119919
R-squared0.749814592538075
Adjusted R-squared0.744708767895995
F-TEST (value)146.854748272867
F-TEST (DF numerator)2
F-TEST (DF denominator)98
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation13.1885858119561
Sum Squared Residuals17046.0019804943


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
114.3612.77426099893981.58573900106016
214.629.625463978601324.99453602139868
313.5110.50001873877623.00998126122381
414.958.81256979573876.1374302042613
516.7210.85143560432465.86856439567542
616.3311.59498052129624.73501947870376
715.2110.99873726569544.21126273430462
816.6911.05787658191875.63212341808129
915.819.845466607802625.96453339219738
1016.029.482996344835166.53700365516484
1116.711.86612407310594.83387592689412
1215.9913.44694362857082.54305637142924
1317.6814.1180037013713.561996298629
1418.8914.19516588892554.69483411107447
1518.7214.66810461613244.05189538386759
1621.1416.58268971739544.55731028260464
1720.9718.29859690450792.67140309549215
1823.7520.40398914099743.34601085900259
1923.0523.7319169106847-0.681916910684664
2023.4526.4272176443176-2.97721764431764
2121.7426.1111447783973-4.37114477839726
2219.3725.550901461072-6.18090146107198
2321.124.0473798595960-2.94737985959597
2421.225.3388708007858-4.13887080078580
2522.6725.4645209372585-2.79452093725845
2622.2425.3046240047401-3.06462400474012
2723.7825.962004738809-2.18200473880901
2823.2727.9639820937567-4.69398209375675
2925.7429.2914077891484-3.55140778914839
3026.130.660131673428-4.56013167342803
3127.4932.0974443779024-4.60744437790239
3231.4133.9965242055164-2.58652420551636
3328.7934.8058150968587-6.01581509685867
3426.7633.5272575732332-6.76725757323325
3526.4132.7602131073795-6.35021310737953
3627.0533.3487020999016-6.29870209990163
3729.4334.1392264972270-4.70922649722696
3832.135.7480869407991-3.64808694079915
3936.8436.27332542348950.566674576510471
4034.2236.73813467263-2.51813467263003
4136.5339.0555394255468-2.52553942554675
4240.9942.5832287865419-1.59322878654192
4345.9747.0355275728812-1.06552757288119
4443.648.4356550815049-4.8356550815049
4547.8449.7013443716397-1.86134437163967
4651.4757.7272611196563-6.2572611196563
4751.3164.4643806526226-13.1543806526226
4848.4758.6267128001913-10.1567128001913
4948.2862.6833290186818-14.4033290186818
5046.5664.0441933960584-17.4841933960584
5143.8364.6984471144882-20.8684471144882
5251.1768.6014891060444-17.4314891060444
5349.5969.3410537611562-19.7510537611562
5449.1171.2193361554943-22.1093361554943
5549.9769.0832206413275-19.1132206413275
5650.0769.6022273549807-19.5322273549807
5753.373.8618544849765-20.5618544849765
5857.0882.2647667540992-25.1847667540992
5968.5484.8754532862241-16.3354532862241
6071.6281.5500987170752-9.93009871707516
6167.6480.1382577540029-12.4982577540029
6264.7974.1833801840295-9.39338018402952
6380.9774.20508122079826.76491877920178
6488.4277.132057414729411.2879425852706
65110.2272.722777399745637.4972226002544
669968.242178289380830.7578217106192
6795.9571.552548059366324.3974519406337
68107.9475.535151649982932.4048483500171
6997.8278.78024699541919.0397530045810
70111.6480.007849893317231.6321501066828
71114.7376.756234772447437.9737652275526
72117.5872.175915983107145.4040840168929
7399.1972.089455967942227.1005440320578
7490.1966.731161555338623.4588384446614
7559.7459.55516667688390.184833323116091
7644.5141.75041428151432.75958571848568
7723.9434.3074819706895-10.3674819706894
7821.2930.0291269974246-8.73912699742464
7920.7725.0972005809235-4.32720058092348
8025.0721.5811114519843.48888854801599
8132.9524.04609791770468.9039020822954
8240.0529.053833892015810.9961661079842
8344.5933.035035537797211.5549644622028
8440.2835.77162201701844.50837798298164
8541.1939.1449931379672.04500686203296
8638.1445.6404098944419-7.50040989444192
8741.8545.5567842065367-3.70678420653673
8843.7646.4222272832796-2.66222728327957
8950.1649.20127262776980.958727372230181
9052.9451.99857972854350.941420271456505
9147.6952.7046022777469-5.01460227774689
9251.5249.80057682545751.71942317454254
9358.6955.22590836558633.46409163441374
9450.4462.4457671098739-12.0057671098739
9545.7253.1945640465843-7.47456404658432
9643.2449.1131743599659-5.87317435996587
9751.4955.5945473152185-4.10454731521849
9850.4358.863777705844-8.43377770584405
9958.7363.287782476395-4.55778247639503
10065.1265.8922254038609-0.7722254038609
10164.1365.6460423743079-1.51604237430787


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
63.31381938265085e-056.6276387653017e-050.999966861806173
77.02952933105933e-050.0001405905866211870.99992970470669
84.76784671658683e-069.53569343317365e-060.999995232153283
93.88713026898309e-077.77426053796619e-070.999999611286973
102.47258176414310e-084.94516352828621e-080.999999975274182
111.59296280506289e-093.18592561012579e-090.999999998407037
129.42289907103886e-111.88457981420777e-100.999999999905771
139.7760762149047e-121.95521524298094e-110.999999999990224
141.86088356200232e-123.72176712400463e-120.99999999999814
151.61534637052527e-133.23069274105054e-130.999999999999838
162.16052357460769e-144.32104714921539e-140.999999999999978
171.54165685175535e-153.08331370351069e-150.999999999999998
189.19988990409818e-171.83997798081964e-161
191.50590929199138e-163.01181858398276e-161
202.29021230924293e-164.58042461848586e-161
216.74564162733754e-161.34912832546751e-151
224.28279104554939e-158.56558209109877e-150.999999999999996
235.59616966905066e-161.11923393381013e-151
248.43545883698301e-171.68709176739660e-161
258.82290863193964e-181.76458172638793e-171
269.1394007142471e-191.82788014284942e-181
271.06805553909613e-192.13611107819225e-191
281.12027714543572e-202.24055429087144e-201
291.64756908776565e-213.29513817553130e-211
302.04304986214598e-224.08609972429196e-221
312.81360799279083e-235.62721598558166e-231
326.50254789892538e-231.30050957978508e-221
336.58390652917612e-241.31678130583522e-231
348.53181591963037e-251.70636318392607e-241
359.40036337795445e-261.88007267559089e-251
369.3725139525155e-271.8745027905031e-261
371.59692236202637e-273.19384472405275e-271
381.08731425365316e-272.17462850730631e-271
393.35483432306142e-256.70966864612283e-251
401.78420348179167e-253.56840696358333e-251
411.22682147172868e-252.45364294345736e-251
421.69280011668667e-253.38560023337333e-251
433.3586792612263e-256.7173585224526e-251
444.78103628253307e-269.56207256506614e-261
452.16092550494429e-264.32185100988857e-261
463.26562760759716e-276.53125521519432e-271
475.16339847283092e-261.03267969456618e-251
481.33311267215861e-262.66622534431722e-261
491.44159321712410e-262.88318643424820e-261
504.68057333124504e-269.36114666249008e-261
517.44532981811592e-251.48906596362318e-241
523.6852839626275e-257.370567925255e-251
534.37451816554986e-258.74903633109972e-251
541.40287411566083e-242.80574823132165e-241
551.68425801158026e-243.36851602316053e-241
562.6198167811415e-245.239633562283e-241
575.49724690675642e-241.09944938135128e-231
586.6651580483602e-231.33303160967204e-221
592.63835896471265e-215.27671792942529e-211
601.29529755685769e-182.59059511371538e-181
611.00621868174587e-162.01243736349174e-161
623.25494767882872e-146.50989535765743e-140.999999999999967
637.38021355238883e-091.47604271047777e-080.999999992619786
648.43026651245552e-050.0001686053302491100.999915697334875
650.09810428657694740.1962085731538950.901895713423053
660.3447498116389080.6894996232778170.655250188361092
670.6211660439401630.7576679121196730.378833956059837
680.8686567404548130.2626865190903740.131343259545187
690.9023769515665350.1952460968669300.0976230484334652
700.9406713515104410.1186572969791170.0593286484895586
710.9693417244405440.06131655111891120.0306582755594556
720.9993564607059180.001287078588163290.000643539294081643
730.9999262317849280.0001475364301434387.37682150717189e-05
740.9999979852256834.02954863346795e-062.01477431673398e-06
750.9999953142342049.37153159121791e-064.68576579560896e-06
760.9999897575957792.04848084427841e-051.02424042213920e-05
770.9999951270688169.74586236878838e-064.87293118439419e-06
780.9999988276780882.34464382442220e-061.17232191221110e-06
790.9999994475204821.10495903563028e-065.5247951781514e-07
800.9999986697240752.66055184990029e-061.33027592495014e-06
810.9999959856442988.02871140425528e-064.01435570212764e-06
820.9999947019649441.05960701120903e-055.29803505604516e-06
830.9999981006316263.79873674718766e-061.89936837359383e-06
840.9999988121055672.37578886555616e-061.18789443277808e-06
850.999997909172754.18165450091320e-062.09082725045660e-06
860.999996009976087.9800478382341e-063.99002391911705e-06
870.999989596333282.08073334406710e-051.04036667203355e-05
880.99996204395127.59120976014086e-053.79560488007043e-05
890.9998541726320310.000291654735937990.000145827367968995
900.9994569396927160.001086120614567330.000543060307283663
910.9983855478485120.003228904302975750.00161445215148788
920.9951310243038050.00973795139238980.0048689756961949
930.9934228889777340.01315422204453130.00657711102226566
940.9993507005720760.001298598855847760.000649299427923881
950.9966023996801050.006795200639789860.00339760031989493


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level820.911111111111111NOK
5% type I error level830.922222222222222NOK
10% type I error level840.933333333333333NOK