Multiple Linear Regression - Estimated Regression Equation
Death[t] = + 99.3511904761905 -13.6846655328798M1[t] -24.890589569161M2[t] -31.953656462585M3[t] -22.4452947845805M4[t] -25.936933106576M5[t] -20.7142857142857M6[t] -10.4916383219955M7[t] -24.6975623582767M8[t] -15.1203231292517M9[t] -30.46910430839M10[t] -32.8178854875284M11[t] -0.651218820861678t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)99.351190476190513.2047737.523900
M1-13.684665532879816.110628-0.84940.3986730.199337
M2-24.89058956916116.105105-1.54550.1269340.063467
M3-31.95365646258516.100808-1.98460.0512860.025643
M4-22.445294784580516.097738-1.39430.167830.083915
M5-25.93693310657616.095896-1.61140.1117940.055897
M6-20.714285714285716.095281-1.2870.202530.101265
M7-10.491638321995516.095896-0.65180.5167470.258373
M8-24.697562358276716.097738-1.53420.1296830.064842
M9-15.120323129251716.708188-0.9050.3687270.184363
M10-30.4691043083916.70523-1.82390.0726230.036312
M11-32.817885487528416.703455-1.96470.0535940.026797
t-0.6512188208616780.140604-4.63161.7e-059e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.55071598803982
R-squared0.303288099482675
Adjusted R-squared0.178503878494497
F-TEST (value)2.43050040366409
F-TEST (DF numerator)12
F-TEST (DF denominator)67
p-value0.0109600910241202
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28.930207162859
Sum Squared Residuals56076.1113945578


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13785.0153061224491-48.0153061224491
23073.1581632653061-43.1581632653061
34765.4438775510204-18.4438775510204
43574.3010204081633-39.3010204081633
53070.1581632653061-40.1581632653061
64374.7295918367347-31.7295918367347
78284.3010204081633-2.30102040816325
84069.4438775510204-29.4438775510204
94778.3698979591837-31.3698979591837
101962.3698979591837-43.3698979591837
115259.3698979591837-7.36989795918366
1213691.536564625850344.4634353741497
138077.20068027210882.79931972789117
144265.343537414966-23.343537414966
155457.6292517006803-3.62925170068026
166666.4863945578231-0.486394557823124
178162.34353741496618.656462585034
186366.9149659863945-3.91496598639455
1913776.486394557823160.5136054421769
207261.629251700680310.3707482993197
2110770.555272108843536.4447278911565
225854.55527210884353.44472789115647
233651.5552721088435-15.5552721088435
245283.7219387755102-31.7219387755102
257969.38605442176879.61394557823133
267757.528911564625819.4710884353742
275449.81462585034014.18537414965987
288458.67176870748325.328231292517
294854.5289115646259-6.52891156462585
309659.100340136054436.8996598639456
318368.67176870748314.328231292517
326653.814625850340112.1853741496599
336162.7406462585034-1.7406462585034
345346.74064625850346.25935374149659
353043.7406462585034-13.7406462585034
367475.9073129251701-1.90731292517006
376961.57142857142857.42857142857146
385949.71428571428579.2857142857143
3942426.98659879949659e-15
406550.857142857142914.1428571428571
417046.714285714285723.2857142857143
4210051.285714285714348.7142857142857
436360.85714285714292.14285714285714
441054659
458254.926020408163327.0739795918367
468138.926020408163342.0739795918367
477535.926020408163339.0739795918367
4810268.092687074829933.9073129251701
4912153.756802721088467.2431972789116
509841.899659863945656.1003401360544
517634.185374149659941.8146258503401
527743.042517006802733.9574829931973
536338.899659863945624.1003401360544
543743.4710884353741-6.47108843537415
553553.0425170068027-18.0425170068027
562338.1853741496599-15.1853741496599
574047.1113945578231-7.11139455782313
582931.1113945578231-2.11139455782313
593728.11139455782318.88860544217688
605160.2780612244898-9.27806122448979
612045.9421768707483-25.9421768707483
622834.0850340136054-6.08503401360544
631326.3707482993197-13.3707482993197
642235.2278911564626-13.2278911564626
652531.0850340136055-6.08503401360546
661335.656462585034-22.656462585034
671645.2278911564626-29.2278911564626
681330.3707482993197-17.3707482993197
691639.296768707483-23.296768707483
701723.296768707483-6.29676870748299
71920.296768707483-11.296768707483
721752.4634353741497-35.4634353741497
732538.1275510204082-13.1275510204082
741426.2704081632653-12.2704081632653
75818.5561224489796-10.5561224489796
76727.4132653061225-20.4132653061225
771023.2704081632653-13.2704081632653
78727.8418367346939-20.8418367346939
791037.4132653061225-27.4132653061225
80322.5561224489796-19.5561224489796


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.1361699461495910.2723398922991830.863830053850409
170.1327533838515350.2655067677030690.867246616148465
180.07087295178338320.1417459035667660.929127048216617
190.08484730967316560.1696946193463310.915152690326834
200.04272494057023140.08544988114046280.957275059429769
210.04882667668927610.09765335337855210.951173323310724
220.02676173589001250.0535234717800250.973238264109987
230.1152915400058170.2305830800116340.884708459994183
240.8597035797466270.2805928405067470.140296420253373
250.8195190345289430.3609619309421140.180480965471057
260.7694739909159240.4610520181681520.230526009084076
270.7573108096766890.4853783806466220.242689190323311
280.6879104633158950.624179073368210.312089536684105
290.7423592351157350.5152815297685310.257640764884265
300.6901873087854980.6196253824290050.309812691214502
310.7460227735729540.5079544528540920.253977226427046
320.6996864535938920.6006270928122160.300313546406108
330.7141839905123450.5716320189753090.285816009487655
340.6880943590683530.6238112818632940.311905640931647
350.7917106753317370.4165786493365260.208289324668263
360.8160765727786650.3678468544426710.183923427221336
370.8259705273138960.3480589453722070.174029472686104
380.8490690226296480.3018619547407030.150930977370352
390.9088518304534180.1822963390931650.0911481695465823
400.9105457657415320.1789084685169370.0894542342584683
410.9018044304381640.1963911391236710.0981955695618357
420.8885236612617460.2229526774765070.111476338738254
430.920199744189230.1596005116215410.0798002558107703
440.9389049690830320.1221900618339350.0610950309169676
450.9132536524351990.1734926951296020.0867463475648012
460.8958786085962940.2082427828074110.104121391403706
470.8667704160365570.2664591679268860.133229583963443
480.8551178451297050.2897643097405890.144882154870295
490.9771032219804450.04579355603910960.0228967780195548
500.9948990890614370.01020182187712640.00510091093856321
510.9986869405814360.002626118837126960.00131305941856348
520.9999249552708420.0001500894583156037.50447291578014e-05
530.9999837920787893.24158424226431e-051.62079212113215e-05
540.9999801099082873.97801834259794e-051.98900917129897e-05
550.999973507454015.29850919806909e-052.64925459903454e-05
560.9999502329671289.95340657445804e-054.97670328722902e-05
570.9999083077647310.0001833844705385719.16922352692853e-05
580.9996994287787530.000601142442494770.000300571221247385
590.9995906033486140.0008187933027721130.000409396651386056
600.9999592322446928.15355106162252e-054.07677553081126e-05
610.9999891936307542.16127384916888e-051.08063692458444e-05
620.9999359924596070.000128015080785386.40075403926899e-05
630.9996740789540710.0006518420918577950.000325921045928898
640.9983551871160250.00328962576795060.0016448128839753


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level140.285714285714286NOK
5% type I error level160.326530612244898NOK
10% type I error level190.387755102040816NOK