Multiple Linear Regression - Estimated Regression Equation
SWS[t] = -193.772904906513 -129.452856414406logWb[t] + 19.1756436818691D[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-193.772904906513105.217683-1.84160.0705560.035278
logWb-129.45285641440639.532938-3.27460.0017730.000887
D19.175643681869137.2043020.51540.6081890.304095


Multiple Linear Regression - Regression Statistics
Multiple R0.397167878821118
R-squared0.157742323967267
Adjusted R-squared0.129191216305140
F-TEST (value)5.52491083127097
F-TEST (DF numerator)2
F-TEST (DF denominator)59
p-value0.00631868697878335
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation396.38510498693
Sum Squared Residuals9270147.93587446


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1-999-631.15496224133-367.845037758669
26.3-136.245973860906142.545973860906
3-999-243.150144083516-755.849855916484
4-999-131.558204629083-867.441795370917
52.1-557.990506139431560.090506139431
69.1-249.533283959104258.633283959104
715.837.4817499893659-21.6817499893659
85.2-402.399957858458407.599957858458
910.9-241.720371848331252.620371848331
108.3-396.911516771805405.211516771805
1111-68.964215692322779.9642156923227
123.2-443.204090614059446.404090614059
137.6-121.810826002069129.410826002069
14-999-392.021128338066-606.978871661934
156.3-28.970728428779935.2707284287799
168.6-217.186326858551225.786326858551
176.6-141.812194345598148.412194345598
189.5-64.937953976986174.437953976986
194.8-193.914101634118198.714101634118
2012-404.784019673990416.784019673990
21-999-450.453802555582-548.546197444418
223.3-284.546569207694287.846569207694
2311-36.218999597520747.2189995975207
24-999-474.40623775595-524.59376224405
254.7-424.366052415358429.066052415358
26-999-376.578073760303-622.421926239697
2710.4-7.3525316544347317.7525316544347
287.4-119.275344566861126.675344566861
292.1-449.597090153927451.697090153927
30-999-433.502974053455-565.497025946545
31-999-316.954348973041-682.04565102696
327.7180.804575498392-173.104575498392
3317.984.3084516041676-66.4084516041676
346.1-406.627485179135412.727485179135
358.2-56.323931612653364.5239316126533
368.4-153.118052415758161.518052415758
3711.975.8330373531041-63.9330373531041
3810.834.4711149309727-23.6711149309727
3913.8-204.429532305711218.229532305711
4014.3-245.028423604242259.328423604242
41-999-408.314870172603-590.685129827397
4215.2-114.157385165302129.357385165302
4310-246.523186593442256.523186593442
4411.9-182.543934696232194.443934696232
456.5-412.650196327609419.150196327609
467.5-149.409157343792156.909157343792
47-999-237.268804407078-761.731195592922
4810.6-64.679001828091175.2790018280911
497.4-255.745226349519263.145226349519
508.4-263.192274321076271.592274321076
515.7-139.247941161316144.947941161316
524.9-208.260921645833213.160921645833
53-999-249.502253758572-749.497746241428
543.2-323.698395570122326.898395570122
55-999-174.338309205202-824.661690794798
568.12.750193251096465.34980674890354
5711-149.498179630468160.498179630468
584.9-175.215166709523180.115166709523
5913.2-28.173775516193841.3737755161938
609.7-197.617712757485207.317712757485
6112.8-245.028423604242257.828423604242
62-999-253.234049095272-745.765950904728


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.8421805975488840.3156388049022310.157819402451116
70.9163990461780630.1672019076438740.0836009538219372
80.8784152803943440.2431694392113130.121584719605656
90.9223707173644060.1552585652711870.0776292826355936
100.9333574620857110.1332850758285770.0666425379142885
110.8931269910101160.2137460179797680.106873008989884
120.8660992385531360.2678015228937280.133900761446864
130.8193538643630420.3612922712739170.180646135636958
140.9091591354370130.1816817291259740.090840864562987
150.8698023644646550.260395271070690.130197635535345
160.8333493101477520.3333013797044960.166650689852248
170.7819216452006740.4361567095986530.218078354799326
180.7166461386120420.5667077227759160.283353861387958
190.6563190509379580.6873618981240840.343680949062042
200.638281674511510.723436650976980.36171832548849
210.696349885400680.6073002291986390.303650114599320
220.6687371057128320.6625257885743370.331262894287168
230.5942750737837520.8114498524324950.405724926216248
240.6567928335729150.6864143328541710.343207166427085
250.6604689721646360.6790620556707280.339531027835364
260.7462977466034590.5074045067930820.253702253396541
270.6807070396704940.6385859206590120.319292960329506
280.6154689276962850.7690621446074310.384531072303715
290.6354564600232670.7290870799534650.364543539976733
300.6977328240727530.6045343518544930.302267175927247
310.8081160417836440.3837679164327110.191883958216356
320.75987893859110.4802421228177990.240121061408900
330.6981813579155640.6036372841688720.301818642084436
340.6951138342822980.6097723314354040.304886165717702
350.6256547803458760.7486904393082490.374345219654124
360.5617086645219010.8765826709561980.438291335478099
370.4871194818540690.9742389637081380.512880518145931
380.4109560460882350.821912092176470.589043953911765
390.3562099167767180.7124198335534360.643790083223282
400.3173392066372680.6346784132745370.682660793362732
410.3985239907594910.7970479815189830.601476009240509
420.3313116035100720.6626232070201440.668688396489928
430.2801495438826520.5602990877653030.719850456117348
440.2309174357190270.4618348714380540.769082564280973
450.2355620997977210.4711241995954410.76443790020228
460.1793890096805660.3587780193611320.820610990319434
470.3127651705908950.625530341181790.687234829409105
480.2375453375581020.4750906751162030.762454662441898
490.2012904275320350.402580855064070.798709572467965
500.1812748132949060.3625496265898110.818725186705094
510.1329031481638370.2658062963276730.867096851836163
520.1029085888405340.2058171776810680.897091411159466
530.3244935395179420.6489870790358840.675506460482058
540.2276095500551180.4552191001102360.772390449944882
550.5159503884938180.9680992230123630.484049611506182
560.3582489134805720.7164978269611440.641751086519428


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK