Multiple Linear Regression - Estimated Regression Equation
TIA[t] = + 39.3947409484312 + 0.663042805057097IAidM[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)39.39474094843126.2252316.328200
IAidM0.6630428050570970.06214210.669800


Multiple Linear Regression - Regression Statistics
Multiple R0.813932329770039
R-squared0.662485837444884
Adjusted R-squared0.656666627745657
F-TEST (value)113.844640713495
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value2.66453525910038e-15
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.27333687938982
Sum Squared Residuals1612.86874692490


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
195.1101.588156062786-6.48815606278646
297101.588156062787-4.58815606278681
3112.7110.7381467725751.96185322742522
4102.9106.362064259198-3.46206425919794
597.4102.649024550878-5.2490245508782
6111.4103.3783716364418.021628363559
787.498.5381591595242-11.1381591595242
896.897.1457692689043-0.345769268904290
9114.1112.6609709072401.43902909275963
10110.3112.859883748757-2.55988374875750
11103.9108.483801235381-4.58380123538065
12101.698.3392463180073.26075368199292
1394.698.9359848425585-4.33598484255846
1495.999.0685934035699-3.16859340356987
15104.7101.6544603432933.04553965670745
16102.899.9305490501442.8694509498559
1798.197.60989923244430.490100767555738
18113.9105.5001086126248.39989138737629
1980.988.1283871201278-7.22838712012777
2095.791.90773110895323.79226889104678
21113.2103.6435887584649.55641124153616
22105.9102.5164159898673.38358401013322
23108.8102.7816331118906.01836688811038
24102.398.86968056205273.43031943794725
2599100.925113257730-1.92511325772974
26100.797.74250779345572.95749220654432
27115.5106.4283685397049.07163146029635
28100.7100.858808977224-0.158808977224035
29109.9102.9142416729016.98575832709897
30114.6108.2185841133586.38141588664218
3185.493.6316424021017-8.23164240210167
32100.597.14576926890433.35423073109571
33114.8109.6109740039785.18902599602227
34116.5111.0696681751035.43033182489667
35112.9107.4229327472895.47706725271071
36102101.5218517822810.478148217718865
37106108.019671271841-2.01967127184069
38105.3106.096847137175-0.796847137175103
39118.8114.5174907614004.28250923859976
40106.1107.290324186278-1.19032418627789
41109.3107.0914113447612.20858865523925
42117.2110.2740168090356.92598319096518
4392.597.2783778299157-4.77837782991571
44104.2101.1240260992473.07597390075313
45112.5111.7327109801600.767289019839573
46122.4119.15879039683.24120960320009
47113.3108.9479311989214.35206880107937
48100100.792504696718-0.792504696718322
49110.7112.196840943700-1.49684094370039
50112.8113.257709431792-0.45770943179176
51109.8117.567487664663-7.76748766466289
52117.3120.020746043374-2.72074604337414
53109.1117.501183384157-8.40118338415718
54115.9121.744657336523-5.8446573365226
5596110.207712528529-14.2077125285291
5699.8107.489237027795-7.68923702779501
57116.8116.838140579100-0.0381405791000808
58115.7114.7164036029170.983596397082638
5999.4103.113154514418-3.71315451441816
6094.395.7533793782844-1.45337937828439


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.01510666191317610.03021332382635210.984893338086824
60.6774759469974490.6450481060051020.322524053002551
70.6808024575420270.6383950849159470.319197542457973
80.7161624313213690.5676751373572630.283837568678631
90.6101672173858870.7796655652282260.389832782614113
100.5538259067782630.8923481864434730.446174093221737
110.4985737624285180.9971475248570370.501426237571482
120.5516304351171720.8967391297656560.448369564882828
130.4738493112486270.9476986224972530.526150688751373
140.3897503467839430.7795006935678850.610249653216057
150.3843462342147760.7686924684295520.615653765785224
160.36668617156930.73337234313860.6333138284307
170.301341069177980.602682138355960.69865893082202
180.4590532526973990.9181065053947970.540946747302601
190.4710079487555720.9420158975111430.528992051244428
200.4849245579288960.969849115857790.515075442071104
210.661042018893860.6779159622122810.338957981106141
220.6150465105506710.7699069788986580.384953489449329
230.6284127625079580.7431744749840850.371587237492042
240.5847265032186050.830546993562790.415273496781395
250.5184973507677870.9630052984644260.481502649232213
260.4660952501678150.9321905003356310.533904749832185
270.5843590917625460.8312818164749080.415640908237454
280.5084724290429350.983055141914130.491527570957065
290.5548557083033030.8902885833933940.445144291696697
300.5728160124291670.8543679751416660.427183987570833
310.6549358176348540.6901283647302930.345064182365146
320.6147140077388450.770571984522310.385285992261155
330.603745043713310.7925099125733790.396254956286689
340.6061050403825860.7877899192348280.393894959617414
350.6195917398938660.7608165202122680.380408260106134
360.5475588992866470.9048822014267050.452441100713353
370.49519059074980.99038118149960.5048094092502
380.4253624525106210.8507249050212420.574637547489379
390.4219850153714180.8439700307428360.578014984628582
400.3565235553346570.7130471106693140.643476444665343
410.3113209993131730.6226419986263460.688679000686827
420.4287900779169290.8575801558338580.571209922083071
430.3881052952082320.7762105904164630.611894704791768
440.3711225643626020.7422451287252030.628877435637398
450.3289596643134030.6579193286268060.671040335686597
460.38002439021910.76004878043820.6199756097809
470.4921951366322610.9843902732645230.507804863367739
480.4229265021111850.845853004222370.577073497888815
490.3743282944624460.7486565889248920.625671705537554
500.3546547850192430.7093095700384870.645345214980757
510.3572370184217450.714474036843490.642762981578255
520.2883432656653150.576686531330630.711656734334685
530.2653043992675840.5306087985351670.734695600732416
540.1862568293926940.3725136587853870.813743170607306
550.6958173197813470.6083653604373060.304182680218653


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0196078431372549OK
10% type I error level10.0196078431372549OK