Multiple Linear Regression - Estimated Regression Equation
HPC[t] = + 0.0142602495543671 -0.252252921370569M1[t] -1.33665082194494M2[t] -1.33771538918598M3[t] + 0.0778867102396507M4[t] -0.00651119033471991M5[t] -0.257575757575759M6[t] + 0.241359675183205M7[t] -0.259704892057834M8[t] + 0.405897207367796M9[t] -0.595167359873242M10[t] -0.429565260447613M11[t] -0.0822687660922955t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.01426024955436712.3333870.00610.9951330.497567
M1-0.2522529213705692.907391-0.08680.9309940.465497
M2-1.336650821944942.907082-0.45980.6464340.323217
M3-1.337715389185982.906841-0.46020.6461450.323072
M40.07788671023965072.9066690.02680.9786640.489332
M5-0.006511190334719912.906565-0.00220.9982160.499108
M6-0.2575757575757592.906531-0.08860.9295210.46476
M70.2413596751832052.9065650.0830.9339480.466974
M8-0.2597048920578342.906669-0.08930.9289430.464471
M90.4058972073677962.9068410.13960.8891640.444582
M10-0.5951673598732422.907082-0.20470.8381030.419052
M11-0.4295652604476132.907391-0.14770.8827690.441385
t-0.08226876609229550.014144-5.816500


Multiple Linear Regression - Regression Statistics
Multiple R0.458312060907168
R-squared0.210049945172976
Adjusted R-squared0.137131478573558
F-TEST (value)2.88061385501836
F-TEST (DF numerator)12
F-TEST (DF denominator)130
p-value0.00148678265612856
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.96302566448772
Sum Squared Residuals6302.8844325609


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
114-0.32026143790849414.3202614379085
214-1.4869281045751615.4869281045752
315-1.5702614379085116.5702614379085
413-0.23692810457516713.2369281045752
58-0.4035947712418318.40359477124183
67-0.7369281045751637.73692810457516
73-0.3202614379084973.3202614379085
83-0.903594771241833.90359477124183
94-0.3202614379084954.32026143790849
104-1.403594771241835.40359477124183
110-1.32026143790851.3202614379085
12-4-0.972964943553179-3.02703505644682
13-14-1.30748663101604-12.692513368984
14-18-2.47415329768271-15.5258467023173
15-8-2.55748663101604-5.44251336898396
16-1-1.224153297682710.22415329768271
171-1.390819964349382.39081996434938
182-1.724153297682713.72415329768271
190-1.307486631016041.30748663101604
201-1.890819964349382.89081996434938
210-1.307486631016041.30748663101604
22-1-2.390819964349381.39081996434938
23-3-2.30748663101604-0.692513368983958
24-3-1.96019013666072-1.03980986333928
25-3-2.29471182412359-0.705288175876412
26-4-3.46137849079025-0.538621509209745
27-8-3.54471182412359-4.45528817587641
28-9-2.21137849079026-6.78862150920974
29-13-2.37804515745692-10.6219548425431
30-18-2.71137849079025-15.2886215092097
31-11-2.29471182412359-8.70528817587641
32-9-2.87804515745692-6.12195484254308
33-10-2.29471182412359-7.70528817587641
34-13-3.37804515745692-9.62195484254308
35-11-3.29471182412359-7.70528817587641
36-5-2.94741532976827-2.05258467023173
37-15-3.28193701723114-11.7180629827689
38-6-4.4486036838978-1.5513963161022
39-6-4.53193701723113-1.46806298276887
40-3-3.19860368389780.198603683897803
41-1-3.365270350564472.36527035056447
42-3-3.69860368389780.698603683897803
43-4-3.28193701723114-0.718062982768864
44-6-3.86527035056447-2.13472964943553
450-3.281937017231143.28193701723114
46-4-4.365270350564470.365270350564468
47-2-4.281937017231132.28193701723113
48-2-3.934640522875821.93464052287582
49-6-4.26916221033868-1.73083778966132
50-7-5.43582887700534-1.56417112299466
51-6-5.51916221033868-0.480837789661319
52-6-4.18582887700535-1.81417112299465
53-3-4.352495543672011.35249554367201
54-2-4.685828877005352.68582887700535
55-5-4.26916221033868-0.730837789661318
56-11-4.85249554367202-6.14750445632798
57-11-4.26916221033868-6.73083778966132
58-11-5.35249554367201-5.64750445632799
59-10-5.26916221033868-4.73083778966132
60-14-4.92186571598337-9.07813428401663
61-8-5.25638740344623-2.74361259655377
62-9-6.42305407011289-2.57694592988711
63-5-6.506387403446231.50638740344623
64-1-5.173054070112894.17305407011289
65-2-5.339720736779563.33972073677956
66-5-5.67305407011290.673054070112895
67-4-5.256387403446231.25638740344623
68-6-5.83972073677956-0.16027926322044
69-2-5.256387403446233.25638740344623
70-2-6.339720736779564.33972073677956
71-2-6.256387403446234.25638740344623
72-2-5.909090909090913.90909090909091
732-6.243612596553778.24361259655377
741-7.410279263220448.41027926322044
75-8-7.49361259655377-0.506387403446227
76-1-6.160279263220445.16027926322044
771-6.326945929887117.32694592988711
78-1-6.660279263220445.66027926322044
792-6.243612596553778.24361259655377
802-6.826945929887118.82694592988711
811-6.243612596553777.24361259655377
82-1-7.326945929887116.32694592988711
83-2-7.243612596553775.24361259655377
84-2-6.896316102198454.89631610219845
85-1-7.230837789661326.23083778966132
86-8-8.397504456327980.397504456327984
87-4-8.480837789661324.48083778966132
88-6-7.147504456327991.14750445632799
89-3-7.314171122994654.31417112299465
90-3-7.647504456327994.64750445632799
91-7-7.230837789661320.230837789661319
92-9-7.81417112299465-1.18582887700535
93-11-7.23083778966132-3.76916221033868
94-13-8.31417112299465-4.68582887700535
95-11-8.23083778966132-2.76916221033868
96-9-7.883541295306-1.116458704694
97-17-8.21806298276887-8.78193701723113
98-22-9.38472964943553-12.6152703505645
99-25-9.46806298276886-15.5319370172311
100-20-8.13472964943553-11.8652703505645
101-24-8.3013963161022-15.6986036838978
102-24-8.63472964943553-15.3652703505645
103-22-8.21806298276887-13.7819370172311
104-19-8.80139631610219-10.1986036838978
105-18-8.21806298276886-9.78193701723114
106-17-9.3013963161022-7.6986036838978
107-11-9.21806298276887-1.78193701723113
108-11-8.87076648841355-2.12923351158645
109-12-9.20528817587641-2.79471182412359
110-10-10.37195484254310.371954842543075
111-15-10.4552881758764-4.54471182412359
112-15-9.12195484254308-5.87804515745692
113-15-9.28862150920974-5.71137849079026
114-13-9.62195484254308-3.37804515745692
115-8-9.205288175876411.20528817587641
116-13-9.78862150920975-3.21137849079025
117-9-9.205288175876410.205288175876411
118-7-10.28862150920973.28862150920974
119-4-10.20528817587646.20528817587641
120-4-9.857991681521095.85799168152109
121-2-10.1925133689848.19251336898396
1220-11.359180035650611.3591800356506
123-2-11.4425133689849.44251336898396
124-3-10.10918003565067.10918003565062
1251-10.275846702317311.2758467023173
126-2-10.60918003565068.60918003565063
127-1-10.1925133689849.19251336898396
1281-10.775846702317311.7758467023173
129-3-10.1925133689847.19251336898395
130-4-11.27584670231737.27584670231729
131-9-11.1925133689842.19251336898396
132-9-10.84521687462861.84521687462864
133-7-11.17973856209154.1797385620915
134-14-12.3464052287582-1.65359477124183
135-12-12.42973856209150.429738562091503
136-16-11.0964052287582-4.90359477124183
137-20-11.2630718954248-8.73692810457517
138-12-11.5964052287582-0.403594771241826
139-12-11.1797385620915-0.820261437908497
140-10-11.76307189542481.76307189542484
141-10-11.17973856209151.1797385620915
142-13-12.2630718954248-0.736928104575164
143-16-12.1797385620915-3.8202614379085


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.4754098147791990.9508196295583980.524590185220801
170.7253158656910180.5493682686179640.274684134308982
180.8218179906446710.3563640187106580.178182009355329
190.8713168038554270.2573663922891460.128683196144573
200.895667010444840.208665979110320.10433298955516
210.8856231550238020.2287536899523960.114376844976198
220.8620285675490930.2759428649018140.137971432450907
230.8444462748531930.3111074502936140.155553725146807
240.8544074985064510.2911850029870980.145592501493549
250.8726414652008140.2547170695983710.127358534799186
260.8766746343542060.2466507312915880.123325365645794
270.8315349104300990.3369301791398020.168465089569901
280.7876317261814040.4247365476371930.212368273818596
290.7608602924522780.4782794150954450.239139707547722
300.7958208502875730.4083582994248530.204179149712427
310.7521984999649610.4956030000700780.247801500035039
320.7006100334984210.5987799330031580.299389966501579
330.6482291313395680.7035417373208650.351770868660432
340.6034596206044440.7930807587911110.396540379395556
350.5623068386077630.8753863227844750.437693161392237
360.595984827294090.808030345411820.40401517270591
370.5792952821375780.8414094357248450.420704717862422
380.6387105828966740.7225788342066520.361289417103326
390.6370380554863250.725923889027350.362961944513675
400.6458450212477710.7083099575044580.354154978752229
410.7049075521637980.5901848956724040.295092447836202
420.7336801945651170.5326396108697660.266319805434883
430.7346187378552930.5307625242894140.265381262144707
440.7055395699731850.5889208600536290.294460430026814
450.734384798808570.531230402382860.26561520119143
460.7230117760867060.5539764478265880.276988223913294
470.7390711301138970.5218577397722060.260928869886103
480.7404358524360210.5191282951279580.259564147563979
490.7269018431574090.5461963136851830.273098156842591
500.6941169869439610.6117660261120790.305883013056039
510.6534678260896370.6930643478207260.346532173910363
520.6038838568020920.7922322863958160.396116143197908
530.5741055971864220.8517888056271570.425894402813579
540.5645832023033910.8708335953932180.435416797696609
550.5255560982297670.9488878035404660.474443901770233
560.4873318920108070.9746637840216130.512668107989193
570.4544921228132860.9089842456265720.545507877186714
580.4174941684068090.8349883368136190.582505831593191
590.3803863853282180.7607727706564370.619613614671782
600.3829645933263680.7659291866527360.617035406673632
610.3618644077968390.7237288155936790.638135592203161
620.3269711117831390.6539422235662780.673028888216861
630.2970228900822740.5940457801645490.702977109917726
640.2891423172738210.5782846345476430.710857682726179
650.2715176187160120.5430352374320250.728482381283988
660.2394815884996750.478963176999350.760518411500325
670.2155152712698650.4310305425397310.784484728730135
680.1891573523563130.3783147047126250.810842647643687
690.1761991376742680.3523982753485360.823800862325732
700.1714159851717140.3428319703434290.828584014828285
710.1650246181019140.3300492362038280.834975381898086
720.1573900887554820.3147801775109640.842609911244518
730.1869747202973480.3739494405946960.813025279702652
740.2116620686394260.4233241372788520.788337931360574
750.1757473487101170.3514946974202340.824252651289883
760.1672311323408620.3344622646817250.832768867659138
770.1801787104155060.3603574208310110.819821289584494
780.1754952131087950.350990426217590.824504786891205
790.1991512185354250.398302437070850.800848781464575
800.2340836844150190.4681673688300370.765916315584981
810.2543268994214430.5086537988428860.745673100578557
820.2656142111253940.5312284222507890.734385788874606
830.2658420365232040.5316840730464080.734157963476796
840.2545179276374610.5090358552749210.745482072362539
850.2636453715655070.5272907431310140.736354628434493
860.2333228083915340.4666456167830680.766677191608466
870.2493188886006910.4986377772013820.750681111399309
880.2538587720705090.5077175441410180.746141227929491
890.3169080542414670.6338161084829340.683091945758533
900.381281098132890.762562196265780.61871890186711
910.3776115350001180.7552230700002350.622388464999882
920.3567480262229570.7134960524459150.643251973777043
930.3314977563048960.6629955126097920.668502243695104
940.30088657613520.60177315227040.6991134238648
950.275127051204960.5502541024099210.72487294879504
960.2406303836936890.4812607673873790.759369616306311
970.2296851062136660.4593702124273310.770314893786334
980.2697048755806190.5394097511612380.730295124419381
990.3613634652541740.7227269305083470.638636534745826
1000.3661175108248320.7322350216496650.633882489175168
1010.4362873484515490.8725746969030980.563712651548451
1020.5318294712844040.9363410574311910.468170528715596
1030.6252105406233660.7495789187532680.374789459376634
1040.6588791033921410.6822417932157180.341120896607859
1050.6915761922638250.6168476154723490.308423807736175
1060.7095340512757780.5809318974484440.290465948724222
1070.6559733798128570.6880532403742860.344026620187143
1080.6180094492715410.7639811014569180.381990550728459
1090.6205772140776040.7588455718447910.379422785922396
1100.5800246856986550.8399506286026910.419975314301345
1110.6129791224448830.7740417551102350.387020877555118
1120.6221373770929720.7557252458140560.377862622907028
1130.6495627606739330.7008744786521330.350437239326067
1140.7137344329246970.5725311341506050.286265567075303
1150.7202223511665210.5595552976669590.279777648833479
1160.9172986876440650.1654026247118690.0827013123559347
1170.9776158246778940.04476835064421130.0223841753221057
1180.9957388448982810.008522310203438690.00426115510171934
1190.9965879027018770.006824194596245220.00341209729812261
1200.9960209001921320.007958199615735150.00397909980786758
1210.9961939805494180.007612038901163860.00380601945058193
1220.9929835154304960.01403296913900750.00701648456950374
1230.9842202514514120.03155949709717540.0157797485485877
1240.9663950868462210.06720982630755840.0336049131537792
1250.9994167752610060.001166449477988080.000583224738994038
1260.9970327905814340.005934418837132220.00296720941856611
1270.990939407325450.01812118534910070.00906059267455033


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level60.0535714285714286NOK
5% type I error level100.0892857142857143NOK
10% type I error level110.0982142857142857OK