Multiple Linear Regression - Estimated Regression Equation
RANG[t] = + 95.7151231150161 + 0.000811260866225314Pageviews[t] -0.0967248435916385Blogs[t] + 1.54079952985966PR[t] -0.123726061471697LFM[t] + 0.142466830241946KCS[t] + 0.0742760351352671SPR[t] + 0.284731988242071CH[t] -2.96193342808934Hours[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)95.71512311501617.19395413.304900
Pageviews0.0008112608662253140.0017390.46650.6425290.321265
Blogs-0.09672484359163850.093794-1.03120.3064970.153248
PR1.540799529859660.8745561.76180.0831120.041556
LFM-0.1237260614716970.183882-0.67290.503580.25179
KCS0.1424668302419460.1205351.18190.2418130.120906
SPR0.07427603513526710.4656260.15950.8737870.436894
CH0.2847319882420710.5739760.49610.6216280.310814
Hours-2.961933428089340.248093-11.938800


Multiple Linear Regression - Regression Statistics
Multiple R0.910480067958452
R-squared0.828973954149627
Adjusted R-squared0.806544308792201
F-TEST (value)36.9588524891755
F-TEST (DF numerator)8
F-TEST (DF denominator)61
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation8.95113952383885
Sum Squared Residuals4887.49682528903


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11-22.185566722992823.1855667229928
22-20.074726598292322.0747265982923
33-10.205729427637713.2057294276377
44-4.620497348267018.62049734826701
552.191536170353812.80846382964619
668.21596816004925-2.21596816004925
777.63441967373452-0.634419673734519
8818.53383398096-10.53383398096
9911.0839474403475-2.08394744034746
101010.5350073055219-0.535007305521906
111119.8934520511608-8.89345205116076
121220.8906440414712-8.89064404147122
131321.0410425525563-8.04104255255627
141421.5364176063875-7.53641760638745
151521.5554242447723-6.55542424477226
161624.3510999606083-8.35109996060829
171723.4437932080972-6.44379320809721
181827.6562889797842-9.65628897978418
191925.7930806445259-6.79308064452586
202028.2676264041034-8.26762640410337
212129.5202930996286-8.52029309962857
222229.5927496252256-7.59274962522557
232332.7722985269116-9.77229852691159
242436.8931105093952-12.8931105093952
252534.0386203875234-9.03862038752341
262636.761084543193-10.761084543193
272738.7754468572912-11.7754468572912
282832.832673722977-4.83267372297702
292931.7858099074562-2.78580990745624
303031.1329684124402-1.13296841244021
313137.875156714218-6.87515671421804
323249.9273583913974-17.9273583913974
333341.0592442871859-8.05924428718591
343437.982194281977-3.98219428197697
353540.1068675729939-5.10686757299386
363646.0178746459458-10.0178746459458
373741.8164205346795-4.81642053467952
383841.6394331281066-3.6394331281066
393940.9224211544414-1.92242115444144
404044.8850451165371-4.88504511653713
414139.48991079242491.5100892075751
424242.929502611497-0.929502611496984
434342.82482447350040.175175526499634
444442.37206592841161.62793407158837
454547.7249912328943-2.7249912328943
464645.54471744082250.45528255917755
474741.83462513717045.16537486282964
484847.1579255035580.842074496442043
494945.38548818848563.61451181151442
505045.2026229217824.797377078218
515144.69566547704366.30433452295639
525243.81073541847558.18926458152455
535348.97739351179754.02260648820255
545447.45581985083786.54418014916217
555546.68853509105498.31146490894508
565648.4044775207587.595522479242
575750.76174401920966.2382559807904
585852.90299318797055.09700681202952
595947.927376024933511.0726239750665
606054.67345497067515.32654502932494
616153.55250554627187.44749445372819
626256.6657153972745.33428460272602
636355.88830241039887.11169758960118
646448.968850283857115.0311497161429
656556.55904581560098.44095418439907
666660.14636890243685.85363109756324
676756.51118640900410.488813590996
686858.06174767532379.93825232467631
696960.65337350331098.34662649668915
707059.353901006450810.6460989935492


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
120.04778714980753670.09557429961507340.952212850192463
130.0205657660452350.04113153209046990.979434233954765
140.008413962356553910.01682792471310780.991586037643446
150.005849433918460820.01169886783692160.994150566081539
160.007792755321149140.01558551064229830.992207244678851
170.03439027197038630.06878054394077270.965609728029614
180.02820987419713760.05641974839427520.971790125802862
190.05402295542799180.1080459108559840.945977044572008
200.2116953981695490.4233907963390990.788304601830451
210.5082561149168120.9834877701663760.491743885083188
220.6001581352511370.7996837294977260.399841864748863
230.6039086568012060.7921826863975870.396091343198794
240.5616684438407420.8766631123185150.438331556159258
250.5687468490115920.8625063019768150.431253150988408
260.5051058496262190.9897883007475630.494894150373781
270.4592616071594830.9185232143189660.540738392840517
280.5672161541739740.8655676916520520.432783845826026
290.6555245982734990.6889508034530020.344475401726501
300.7738248534910690.4523502930178630.226175146508931
310.8367101373561670.3265797252876650.163289862643833
320.8221243271897410.3557513456205170.177875672810259
330.8884823760497730.2230352479004550.111517623950227
340.9156405397713680.1687189204572640.0843594602286321
350.939450554613360.121098890773280.0605494453866398
360.9767307680600580.04653846387988450.0232692319399423
370.9914651813736540.01706963725269140.00853481862634572
380.9978869451634940.004226109673011450.00211305483650572
390.9990828132631190.001834373473761610.000917186736880804
400.9997133829619950.0005732340760091030.000286617038004551
410.9998228742333950.0003542515332094980.000177125766604749
420.9998520351325620.0002959297348762680.000147964867438134
430.9999009400434990.0001981199130013859.90599565006923e-05
440.9999773550783434.52898433142659e-052.2644921657133e-05
450.9999917360752281.65278495438306e-058.26392477191528e-06
460.9999949931722591.00136554828529e-055.00682774142644e-06
470.9999953551760829.2896478358901e-064.64482391794505e-06
480.9999948696253291.02607493417068e-055.13037467085339e-06
490.9999955713277868.85734442733546e-064.42867221366773e-06
500.9999899793721242.00412557524362e-051.00206278762181e-05
510.9999681000499626.37999000751802e-053.18999500375901e-05
520.9999629902033067.40195933879418e-053.70097966939709e-05
530.9999619193813697.61612372612063e-053.80806186306032e-05
540.9999629659129897.40681740213596e-053.70340870106798e-05
550.9998937773550410.0002124452899176610.00010622264495883
560.9996284905333980.0007430189332044610.00037150946660223
570.9980191729252570.003961654149485360.00198082707474268
580.9908024711234840.01839505775303310.00919752887651653


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level200.425531914893617NOK
5% type I error level270.574468085106383NOK
10% type I error level300.638297872340426NOK