Multiple Linear Regression - Estimated Regression Equation
Place[t] = -79.8188579318147 -0.000111644789557989pageviews[t] -0.0782409579001187Blogs[t] + 0.264997949248526PR[t] -0.190196588730452LFM[t] + 0.107494034077762KCS[t] -0.253444101923494SPR[t] -0.0558080713377833CH[t] -2.41456704292149Hours[t] + 19.9511189918986Month[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-79.818857931814717.628602-4.52781.3e-057e-06
pageviews-0.0001116447895579890.001239-0.09010.928320.46416
Blogs-0.07824095790011870.057297-1.36550.1744410.08722
PR0.2649979492485260.2712460.9770.3304010.1652
LFM-0.1901965887304520.063935-2.97490.0034960.001748
KCS0.1074940340777620.0573951.87290.0633310.031666
SPR-0.2534441019234940.177743-1.42590.1562930.078147
CH-0.05580807133778330.321236-0.17370.8623490.431174
Hours-2.414567042921490.188276-12.824600
Month19.95111899189861.54986412.872800


Multiple Linear Regression - Regression Statistics
Multiple R0.986277010657811
R-squared0.972742341752108
Adjusted R-squared0.970855273104178
F-TEST (value)515.477983706984
F-TEST (DF numerator)9
F-TEST (DF denominator)130
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.9240938572226
Sum Squared Residuals6232.59984667161


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11-27.688932245516428.6889322455164
22-20.378875313587822.3788753135878
33-13.154659365133716.1546593651337
44-8.6111981836375812.6111981836376
55-1.98243748209986.9824374820998
665.248155418394650.751844581605346
774.161127084095632.83887291590437
885.389743579029652.61025642097035
997.839426303025841.16057369697416
101015.1309471419159-5.1309471419159
111116.931710334913-5.93171033491296
121220.2529641160823-8.2529641160823
131320.6688292092075-7.66882920920752
141421.0050910167119-7.00509101671194
151517.9287109954755-2.92871099547555
161621.4256275563604-5.42562755636045
171721.6832400286008-4.6832400286008
181820.605006011933-2.605006011933
191925.0517322288876-6.0517322288876
202026.6813535641694-6.68135356416938
212127.3000101823376-6.30001018233764
222226.6317651328697-4.63176513286968
232327.5712026200918-4.57120262009181
242430.4862053842988-6.48620538429877
252533.669787116163-8.669787116163
262633.24968835258-7.24968835257998
272728.3609960253597-1.36099602535965
282835.0914615715057-7.09146157150566
292929.8707054981417-0.870705498141737
303030.2506727911833-0.250672791183267
313133.3109445913176-2.31094459131755
323234.8894588468675-2.88945884686755
333336.5458829048383-3.54588290483826
343434.9289508163097-0.928950816309731
353536.0883237238018-1.08832372380176
363633.75652254866012.24347745133993
373735.16727444923181.83272555076816
383837.64044890050360.359551099496429
393936.68211234910242.31788765089761
404038.10279450864161.89720549135844
414136.75829558758414.24170441241588
424232.03786171185149.96213828814861
434339.699801193913.30019880609004
444437.96748031466296.03251968533712
454537.76997710852457.23002289147554
464639.70127906976216.29872093023787
474739.44152413721997.55847586278011
484861.4995396288386-13.4995396288386
494961.9489324908529-12.9489324908529
505061.3454445672277-11.3454445672277
515161.333671945374-10.333671945374
525263.5050583947589-11.5050583947589
535361.2407384831815-8.24073848318153
545463.3935573318363-9.39355733183628
555562.0465556330928-7.04655563309276
565662.0941836155393-6.09418361553932
575759.9618173990406-2.96181739904061
585863.1437032987994-5.14370329879938
595964.8472338375036-5.8472338375036
606065.0020117594573-5.00201175945735
616164.0605837452368-3.06058374523683
626265.967012601495-3.96701260149503
636366.5863456696866-3.58634566968661
646464.097661108669-0.0976611086689846
656565.9483693689665-0.948369368966529
666666.9733517937631-0.973351793763134
676766.065629811970.934370188030001
686870.184533404091-2.18453340409101
696970.6511387766244-1.65113877662443
707071.8893060230652-1.88930602306524
717171.5138832537953-0.51388325379531
727273.4049714269875-1.4049714269875
737375.6651171070745-2.66511710707453
747479.4672736742928-5.46727367429282
757578.1728534558837-3.17285345588374
767679.5540099071509-3.55400990715085
777775.89261333202531.10738666797465
787877.1322577880270.867742211972951
797980.1927554340493-1.19275543404927
808083.0471075544477-3.0471075544477
818174.1874458752896.81255412471099
828280.39871698962081.60128301037919
838377.81789900645435.18210099354572
848477.69474393502996.30525606497014
858580.5563484663584.44365153364204
868683.0029884848542.99701151514601
878781.63014102658825.36985897341178
888878.33200730598599.6679926940141
898981.17218868815217.82781131184794
909079.783798821517310.2162011784827
919182.93623238957518.06376761042486
929284.68598030753617.31401969246386
939383.97102291508759.02897708491251
949486.68328329285157.31671670714855
9595106.228425725686-11.2284257256859
9696104.060376197065-8.06037619706527
9797102.394803885569-5.39480388556901
9898106.70500624214-8.70500624213994
9999106.575095410555-7.57509541055454
100100106.050985751303-6.05098575130336
101101107.534756954795-6.53475695479513
102102111.209014986727-9.20901498672652
103103107.031080669054-4.03108066905401
104104107.774564135111-3.77456413511063
105105110.283317994218-5.28331799421817
106106108.697488489641-2.6974884896407
107107106.7090787196440.29092128035585
108108107.9267434566230.0732565433770674
109109116.997616042813-7.99761604281322
110110111.351958572738-1.35195857273815
111111111.382752265953-0.382752265953006
112112112.717745924455-0.717745924455434
113113115.569463310002-2.56946331000156
114114115.963462592007-1.96346259200718
115115116.693036935145-1.6930369351445
116116110.0918619056085.9081380943922
117117116.6004076490230.399592350977373
118118117.2510112853730.748988714627136
119119114.9472654463844.05273455361601
120120115.7864005535824.21359944641844
121121117.0708984188423.92910158115771
122122120.8461741596261.15382584037361
123123119.7480300561413.25196994385904
124124121.5536568461352.44634315386493
125125118.0767294096186.92327059038203
126126126.375936775385-0.375936775384843
127127124.5733544853672.42664551463308
128128125.2213471429712.77865285702883
129129125.5421263836033.45787361639732
130130121.863309140478.13669085952956
131131126.0339370709124.9660629290876
132132124.8304256432167.16957435678384
133133123.1034286403029.89657135969777
134134127.0778605225756.92213947742489
135135125.3680064075479.63199359245273
136136128.5456009118097.4543990881909
137137136.6021371170760.397862882923652
138138127.52523010057810.4747698994216
139139132.4363637664556.56363623354495
140140131.2307153363048.76928466369551


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
130.01666899361055560.03333798722111120.983331006389444
140.02057435890400360.04114871780800730.979425641095996
150.02625564334287810.05251128668575630.973744356657122
160.2771331477190080.5542662954380170.722866852280992
170.3053602322199030.6107204644398050.694639767780097
180.3650919486351610.7301838972703230.634908051364839
190.4868914665223820.9737829330447650.513108533477618
200.4106794976872380.8213589953744770.589320502312762
210.5914708455823120.8170583088353770.408529154417688
220.69086541032720.6182691793455990.3091345896728
230.742845747075740.5143085058485190.25715425292426
240.7190526157068940.5618947685862120.280947384293106
250.7966820058405710.4066359883188570.203317994159428
260.7402158993582730.5195682012834540.259784100641727
270.9335184194865940.1329631610268120.066481580513406
280.9344570262814460.1310859474371080.0655429737185538
290.969417670808180.06116465838363930.0305823291918197
300.9867651968412720.02646960631745560.0132348031587278
310.9983087595174050.003382480965190780.00169124048259539
320.99930992670620.001380146587600640.000690073293800322
330.9998182979061680.0003634041876629380.000181702093831469
340.999922495743510.0001550085129799287.75042564899642e-05
350.9999582567634358.3486473129337e-054.17432365646685e-05
360.9999873615081212.52769837583658e-051.26384918791829e-05
370.9999947605608671.04788782653225e-055.23943913266123e-06
380.999998722296672.55540665958293e-061.27770332979147e-06
390.9999993856023731.22879525465792e-066.14397627328961e-07
400.9999999098529921.80294016147139e-079.01470080735693e-08
410.9999999839347913.21304181507866e-081.60652090753933e-08
420.9999999962968967.40620709577983e-093.70310354788991e-09
430.9999999953627699.2744627562855e-094.63723137814275e-09
440.9999999985044232.99115316043581e-091.4955765802179e-09
450.9999999998160463.67907203491048e-101.83953601745524e-10
460.9999999998981282.03743186035836e-101.01871593017918e-10
470.9999999999297531.40493676994152e-107.02468384970758e-11
480.9999999999560718.78572403761949e-114.39286201880974e-11
490.9999999999680916.38170783331766e-113.19085391665883e-11
500.9999999999725225.49559805142957e-112.74779902571478e-11
510.9999999999597338.05348320047736e-114.02674160023868e-11
520.9999999999475251.04950181457704e-105.24750907288521e-11
530.9999999999177361.64527475106627e-108.22637375533133e-11
540.9999999998120173.75966220414389e-101.87983110207195e-10
550.9999999997499945.00011503692273e-102.50005751846136e-10
560.9999999994545851.09083031467719e-095.45415157338597e-10
570.9999999991208031.75839333678688e-098.79196668393442e-10
580.9999999990458841.90823115172802e-099.54115575864009e-10
590.99999999795494.09020041572858e-092.04510020786429e-09
600.9999999965838696.83226298561286e-093.41613149280643e-09
610.9999999957319288.53614478397799e-094.26807239198899e-09
620.999999996233167.53367979290743e-093.76683989645371e-09
630.9999999984471593.10568156173195e-091.55284078086597e-09
640.9999999995155669.68868349014072e-104.84434174507036e-10
650.9999999993704461.25910829740666e-096.29554148703329e-10
660.9999999994927521.01449650582899e-095.07248252914497e-10
670.999999998913372.17326017089911e-091.08663008544956e-09
680.9999999989964742.0070529990578e-091.0035264995289e-09
690.9999999982532833.49343353635687e-091.74671676817844e-09
700.9999999965312756.93744930886618e-093.46872465443309e-09
710.9999999953129499.37410181434828e-094.68705090717414e-09
720.9999999938172891.23654218131384e-086.1827109065692e-09
730.9999999928137911.43724169854561e-087.18620849272806e-09
740.9999999994630111.07397816745238e-095.3698908372619e-10
750.9999999999694186.11640165129768e-113.05820082564884e-11
760.9999999999886892.26216403780012e-111.13108201890006e-11
770.9999999999970575.88621019576525e-122.94310509788263e-12
780.9999999999994871.02614988609785e-125.13074943048925e-13
790.9999999999999627.5363524520474e-143.7681762260237e-14
800.999999999999992.0201940303192e-141.0100970151596e-14
810.9999999999999882.37862915002193e-141.18931457501096e-14
820.9999999999999696.1929814113376e-143.0964907056688e-14
830.9999999999999872.55893282660563e-141.27946641330281e-14
840.9999999999999823.50858813756965e-141.75429406878482e-14
850.9999999999999784.30574116384973e-142.15287058192486e-14
860.9999999999999754.993942719055e-142.4969713595275e-14
870.9999999999999519.80620378512684e-144.90310189256342e-14
880.9999999999999171.66154094476454e-138.30770472382272e-14
890.9999999999998273.46647304020747e-131.73323652010374e-13
900.9999999999998552.90678782864258e-131.45339391432129e-13
910.9999999999998223.55899543829041e-131.77949771914521e-13
920.999999999999823.60170274851362e-131.80085137425681e-13
930.9999999999998033.93165372128739e-131.9658268606437e-13
940.9999999999993241.35270003744104e-126.76350018720521e-13
950.9999999999993151.3693525775713e-126.84676288785652e-13
960.9999999999978144.37303338534777e-122.18651669267389e-12
970.9999999999987632.47469409305435e-121.23734704652718e-12
980.9999999999982143.57203480896194e-121.78601740448097e-12
990.9999999999947621.04754777585247e-115.23773887926237e-12
1000.999999999990271.94591135238007e-119.72955676190037e-12
1010.99999999996936.1399505056252e-113.0699752528126e-11
1020.9999999999079471.84106092898119e-109.20530464490593e-11
1030.9999999998495123.00975942598041e-101.50487971299021e-10
1040.9999999997441625.11676874876396e-102.55838437438198e-10
1050.9999999995594658.81070038644375e-104.40535019322187e-10
1060.9999999990507411.89851820785031e-099.49259103925154e-10
1070.999999996742446.51512038817123e-093.25756019408562e-09
1080.9999999899519222.00961558916633e-081.00480779458317e-08
1090.9999999689064926.21870155228317e-083.10935077614158e-08
1100.9999998960879952.07824009981648e-071.03912004990824e-07
1110.9999997272930015.45413997073271e-072.72706998536636e-07
1120.9999991393110991.72137780184221e-068.60688900921106e-07
1130.9999990674311251.86513774961353e-069.32568874806766e-07
1140.9999986852412752.62951744900942e-061.31475872450471e-06
1150.9999996856327886.28734425066662e-073.14367212533331e-07
1160.9999994950563141.00988737262834e-065.04943686314172e-07
1170.9999982466488043.5067023923222e-061.7533511961611e-06
1180.9999996652087086.6958258331182e-073.3479129165591e-07
1190.9999986734181352.6531637292252e-061.3265818646126e-06
1200.9999943158533211.13682933588986e-055.6841466794493e-06
1210.9999830501954423.38996091169799e-051.69498045584899e-05
1220.9999596281161828.07437676359872e-054.03718838179936e-05
1230.9999043171136040.0001913657727914619.56828863957303e-05
1240.9996235730067530.0007528539864938580.000376426993246929
1250.9986230260579980.002753947884004490.00137697394200224
1260.9934606536055980.01307869278880480.00653934639440239
1270.9714371398136460.05712572037270870.0285628601863543


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level950.826086956521739NOK
5% type I error level990.860869565217391NOK
10% type I error level1020.88695652173913NOK