Multiple Linear Regression - Estimated Regression Equation
Outcome[t] = + 2.28300642882499 -0.203022509844446Weeks[t] -0.0816957353647536UseLimit[t] + 0.0311836573363434T40[t] -0.132461436410011T20[t] + 0.117421496097714Used[t] -0.155577945691238CorrectAnalysis[t] + 0.150678197943732Useful[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.283006428824990.7106353.21260.0016180.000809
Weeks-0.2030225098444460.171808-1.18170.2392530.119626
UseLimit-0.08169573536475360.086365-0.94590.3457450.172873
T400.03118365733634340.1249940.24950.803340.40167
T20-0.1324614364100110.143687-0.92190.3581150.179058
Used0.1174214960977140.1035881.13350.2588450.129422
CorrectAnalysis-0.1555779456912380.17227-0.90310.3679570.183979
Useful0.1506781979437320.094541.59380.1131430.056571


Multiple Linear Regression - Regression Statistics
Multiple R0.250954073915675
R-squared0.0629779472148741
Adjusted R-squared0.0180522323553133
F-TEST (value)1.40182404246087
F-TEST (DF numerator)7
F-TEST (DF denominator)146
p-value0.208797105956925
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.486233088471921
Sum Squared Residuals34.5177019834417


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
111.64544780811921-0.645447808119207
221.59493573009080.405064269909202
321.59493573009080.405064269909202
421.59493573009080.405064269909202
521.59493573009080.405064269909202
611.52595326751182-0.525953267511819
721.59493573009080.405064269909202
821.563752072754450.436247927245545
911.5949357300908-0.594935730090798
1021.676631465455550.323368534544449
1121.645447808119210.354552191880792
1221.59493573009080.405064269909202
1321.326836036049350.673163963950648
1421.645447808119210.354552191880792
1511.32683603604935-0.326836036049352
1611.29565237871301-0.295652378713009
1721.5329260597690.467073940230999
1821.645447808119210.354552191880792
1911.5949357300908-0.594935730090798
2011.45123032440425-0.451230324404247
2121.525953267511820.47404673248818
2211.40853177141411-0.408531771414106
2311.44425753214707-0.444257532147066
2411.52595326751182-0.525953267511819
2511.44633057665674-0.446330576656741
2621.326836036049350.673163963950648
2711.67663146545555-0.676631465455551
2821.477514233993080.522485766006916
2911.5949357300908-0.594935730090798
3021.444257532147070.555742467852934
3121.59493573009080.405064269909202
3221.676631465455550.323368534544449
3321.525953267511820.47404673248818
3411.56375207275445-0.563752072754454
3521.59493573009080.405064269909202
3621.59493573009080.405064269909202
3721.377348114077760.622651885922237
3811.47751423399308-0.477514233993084
3911.44425753214707-0.444257532147066
4021.413073874810720.586926125189277
4111.48241398174059-0.48241398174059
4211.47751423399308-0.477514233993084
4311.52595326751182-0.525953267511819
4421.645447808119210.354552191880792
4521.444257532147070.555742467852934
4611.44425753214707-0.444257532147066
4721.59493573009080.405064269909202
4811.5949357300908-0.594935730090798
4911.44425753214707-0.444257532147066
5021.59493573009080.405064269909202
5121.446330576656740.55366942334326
5221.5329260597690.467073940230999
5311.5949357300908-0.594935730090798
5421.633092179684320.366907820315678
5521.59493573009080.405064269909202
5611.44633057665674-0.446330576656741
5711.32683603604935-0.326836036049352
5811.5949357300908-0.594935730090798
5911.5949357300908-0.594935730090798
6011.532926059769-0.532926059769
6111.64544780811921-0.645447808119208
6221.326836036049350.673163963950648
6321.59493573009080.405064269909202
6411.64544780811921-0.645447808119208
6521.59493573009080.405064269909202
6621.59493573009080.405064269909202
6721.451230324404250.548769675595753
6821.676631465455550.323368534544449
6911.5949357300908-0.594935730090798
7021.477514233993080.522485766006916
7121.59493573009080.405064269909202
7211.5949357300908-0.594935730090798
7311.47751423399308-0.477514233993084
7421.559209969357840.440790030642162
7511.5949357300908-0.594935730090798
7611.41307387481072-0.413073874810722
7711.5949357300908-0.594935730090798
7811.32683603604935-0.326836036049352
7911.60190852234798-0.601908522347979
8021.413073874810720.586926125189277
8121.59493573009080.405064269909202
8211.55920996935784-0.559209969357838
8321.59493573009080.405064269909202
8421.633092179684320.366907820315678
8511.44425753214707-0.444257532147066
8621.676631465455550.323368534544449
8711.75538629765173-0.755386297651734
8811.77042623796403-0.770426237964032
8921.673690562286980.326309437713019
9011.67369056228698-0.673690562286981
9121.523012364343250.476987635656751
9221.887847734061750.112152265938255
9321.6047080997080.395291900291998
9421.673690562286980.326309437713019
9521.806151998696990.193848001303008
9611.67369056228698-0.673690562286981
9721.887847734061750.112152265938255
9821.673690562286980.326309437713019
9921.755386297651730.244613702348266
10011.67369056228698-0.673690562286981
10111.75538629765173-0.755386297651734
10221.673690562286980.326309437713019
10321.673690562286980.326309437713019
10421.673690562286980.326309437713019
10521.688730502599280.311269497400722
10621.673690562286980.326309437713019
10721.673690562286980.326309437713019
10821.770426237964030.229573762035968
10921.673690562286980.326309437713019
11021.755386297651730.244613702348266
11121.61974804002030.3802519599797
11221.806151998696990.193848001303008
11321.556269066189270.443730933810733
11421.770426237964030.229573762035968
11521.755386297651730.244613702348266
11621.673690562286980.326309437713019
11711.75538629765173-0.755386297651734
11821.755386297651730.244613702348266
11921.673690562286980.326309437713019
12011.67369056228698-0.673690562286981
12121.755386297651730.244613702348266
12221.673690562286980.326309437713019
12321.770426237964030.229573762035968
12411.40559086824554-0.405590868245535
12511.67369056228698-0.673690562286981
12621.806151998696990.193848001303008
12721.523012364343250.476987635656751
12811.67369056228698-0.673690562286981
12921.673690562286980.326309437713019
13011.67369056228698-0.673690562286981
13121.755386297651730.244613702348266
13211.75538629765173-0.755386297651734
13321.637964801554020.362035198445979
13421.673690562286980.326309437713019
13521.673690562286980.326309437713019
13621.673690562286980.326309437713019
13711.48728660361029-0.487286603610289
13811.6197480400203-0.6197480400203
13921.806151998696990.193848001303008
14021.673690562286980.326309437713019
14111.71184701188051-0.711847011880505
14211.68873050259928-0.688730502599278
14321.755386297651730.244613702348266
14411.52301236434325-0.523012364343249
14521.523012364343250.476987635656751
14611.80615199869699-0.806151998696992
14721.688730502599280.311269497400722
14821.806151998696990.193848001303008
14921.755386297651730.244613702348266
15011.52301236434325-0.523012364343249
15111.67369056228698-0.673690562286981
15221.793542747245260.206457252754741
15321.642864549301530.357135450698473
15421.637964801554020.362035198445979


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.8968381774546320.2063236450907350.103161822545368
120.8187886726445650.3624226547108710.181211327355435
130.7236975620561620.5526048758876750.276302437943838
140.6542911683224710.6914176633550580.345708831677529
150.7288265539341840.5423468921316310.271173446065816
160.6641435120596810.6717129758806380.335856487940319
170.5723517341427760.8552965317144490.427648265857224
180.505718963134860.988562073730280.49428103686514
190.6569773980483180.6860452039033640.343022601951682
200.6680995016307080.6638009967385840.331900498369292
210.724224877759430.551550244481140.27577512224057
220.7180519706094180.5638960587811630.281948029390582
230.6742222894705510.6515554210588990.32577771052945
240.6405039600631270.7189920798737470.359496039936873
250.6601099067734590.6797801864530820.339890093226541
260.7333858590317170.5332282819365660.266614140968283
270.8016195597451270.3967608805097460.198380440254873
280.775285048503750.4494299029925010.22471495149625
290.8092998543770170.3814002912459660.190700145622983
300.8246963453410620.3506073093178750.175303654658938
310.7979558472370740.4040883055258520.202044152762926
320.7664097548604450.467180490279110.233590245139555
330.7644116750384420.4711766499231160.235588324961558
340.7723256233826420.4553487532347160.227674376617358
350.7444161134325020.5111677731349970.255583886567498
360.7146025336373950.570794932725210.285397466362605
370.7462241729570850.5075516540858290.253775827042915
380.7606405047863810.4787189904272380.239359495213619
390.7521743823317810.4956512353364380.247825617668219
400.7669127552616960.4661744894766080.233087244738304
410.7522373589351340.4955252821297330.247762641064866
420.7445807080290150.5108385839419690.255419291970985
430.7535162527440340.4929674945119320.246483747255966
440.7292670269908220.5414659460183560.270732973009178
450.7299337037473240.5401325925053530.270066296252676
460.7274934699694850.545013060061030.272506530030515
470.708398036158710.583203927682580.29160196384129
480.7299608282155090.5400783435689820.270039171784491
490.7226666710206640.5546666579586730.277333328979336
500.7053336879432980.5893326241134030.294666312056702
510.718280621552650.5634387568947010.28171937844735
520.7233457959497590.5533084081004820.276654204050241
530.7422599969576850.515480006084630.257740003042315
540.7213781854936720.5572436290126560.278621814506328
550.705072375008750.5898552499825010.29492762499125
560.6980801981193970.6038396037612060.301919801880603
570.6696826821325510.6606346357348980.330317317867449
580.6906255305989130.6187489388021740.309374469401087
590.7103860779737250.5792278440525490.289613922026275
600.7148648119459310.5702703761081380.285135188054069
610.7367168615632310.5265662768735390.263283138436769
620.7649770447392450.4700459105215110.235022955260755
630.7510269501442810.4979460997114380.248973049855719
640.7713193657739550.457361268452090.228680634226045
650.7583098699081240.4833802601837510.241690130091876
660.7459948333275680.5080103333448650.254005166672432
670.7541945772933130.4916108454133740.245805422706687
680.7344614240452430.5310771519095140.265538575954757
690.7478079490966710.5043841018066580.252192050903329
700.7559760210896410.4880479578207180.244023978910359
710.7480163765885850.503967246822830.251983623411415
720.7579142620432120.4841714759135770.242085737956788
730.7506731674128170.4986536651743650.249326832587183
740.7486535450948730.5026929098102530.251346454905126
750.7588894879372420.4822210241255160.241110512062758
760.7408279999589860.5183440000820280.259172000041014
770.7574236975607020.4851526048785970.242576302439298
780.7369011409343330.5261977181313350.263098859065667
790.7798313203040450.4403373593919090.220168679695955
800.7684924968241360.4630150063517290.231507503175864
810.7529570870460670.4940858259078650.247042912953933
820.7693377960024860.4613244079950270.230662203997514
830.7493768704719960.5012462590560070.250623129528004
840.7310600491023810.5378799017952390.268939950897619
850.7299884662395680.5400230675208640.270011533760432
860.6959620804063830.6080758391872350.304037919593617
870.7177051940815530.5645896118368950.282294805918447
880.7463429037134340.5073141925731320.253657096286566
890.7530647707603370.4938704584793270.246935229239663
900.7696355052554930.4607289894890140.230364494744507
910.7885673541779160.4228652916441670.211432645822084
920.7717985531546480.4564028936907050.228201446845353
930.7669232968239190.4661534063521620.233076703176081
940.7455346295823110.5089307408353770.254465370417689
950.7163660318826110.5672679362347770.283633968117389
960.7504156918631710.4991686162736580.249584308136829
970.7119952073474240.5760095853051520.288004792652576
980.6885111569606150.6229776860787690.311488843039385
990.6524847460584840.6950305078830320.347515253941516
1000.6924131087467840.6151737825064320.307586891253216
1010.7580393889263190.4839212221473620.241960611073681
1020.7360557972159120.5278884055681770.263944202784088
1030.7121287235455390.5757425529089220.287871276454461
1040.686787405113910.626425189772180.31321259488609
1050.6582286494670080.6835427010659850.341771350532992
1060.6312260370630190.7375479258739630.368773962936981
1070.6041482176446910.7917035647106170.395851782355309
1080.5575871017072190.8848257965855610.442412898292781
1090.5299134029144230.9401731941711530.470086597085577
1100.4830344983020460.9660689966040910.516965501697954
1110.4651483999755480.9302967999510970.534851600024452
1120.4242648973797810.8485297947595620.575735102620219
1130.4195680813207420.8391361626414840.580431918679258
1140.3761241928693270.7522483857386530.623875807130673
1150.3297576494809730.6595152989619460.670242350519027
1160.3050542000336330.6101084000672650.694945799966367
1170.4048480061701440.8096960123402880.595151993829856
1180.3525669394949420.7051338789898850.647433060505058
1190.3287661040676170.6575322081352330.671233895932383
1200.3604632535154840.7209265070309680.639536746484516
1210.3084000753954650.616800150790930.691599924604535
1220.2836618229825180.5673236459650370.716338177017482
1230.2440396036790320.4880792073580640.755960396320968
1240.2070959447392240.4141918894784480.792904055260776
1250.2331302988325220.4662605976650450.766869701167478
1260.2037495590845680.4074991181691360.796250440915432
1270.2265392350910190.4530784701820380.773460764908981
1280.2599549770226490.5199099540452970.740045022977351
1290.2273351348182380.4546702696364760.772664865181762
1300.2696488735320020.5392977470640030.730351126467998
1310.2154401820026870.4308803640053750.784559817997313
1320.3872121404791490.7744242809582980.612787859520851
1330.3276212400946850.6552424801893690.672378759905315
1340.2750662184038230.5501324368076450.724933781596177
1350.230165682711630.460331365423260.76983431728837
1360.1953765301181390.3907530602362780.804623469881861
1370.16983843284640.3396768656928010.8301615671536
1380.2538319766401980.5076639532803950.746168023359802
1390.2167255874619330.4334511749238650.783274412538068
1400.3036003155681840.6072006311363690.696399684431816
1410.2126993125591850.4253986251183710.787300687440815
1420.2554098023105430.5108196046210870.744590197689456
1430.15207629610530.3041525922105990.847923703894701


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