Multiple Linear Regression - Estimated Regression Equation
TWV[t] = + 2.53000723423698 + 0.250196720479237`WV-25`[t] + 1.10081835719362M1[t] + 0.720818357193624M2[t] + 0.820818357193624M3[t] + 1.34608983145497M4[t] + 1.32608983145497M5[t] + 1.12608983145497M6[t] + 1.03121966697127M7[t] + 0.751219666971267M8[t] + 0.771219666971266M9[t] + 0.0400000000000001M10[t] + 0.24M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2.530007234236981.0414512.42930.0190040.009502
`WV-25`0.2501967204792370.0391636.388600
M11.100818357193620.468932.34750.0231620.011581
M20.7208183571936240.468931.53720.1309610.06548
M30.8208183571936240.468931.75040.0865740.043287
M41.346089831454970.4903322.74530.0085390.004269
M51.326089831454970.4903322.70450.0094970.004748
M61.126089831454970.4903322.29660.0261450.013073
M71.031219666971270.5023042.0530.0456650.022832
M80.7512196669712670.5023041.49550.1414570.070728
M90.7712196669712660.5023041.53540.13140.0657
M100.04000000000000010.4397190.0910.9279050.463953
M110.240.4397190.54580.5877830.293891


Multiple Linear Regression - Regression Statistics
Multiple R0.729257593587251
R-squared0.531816637804669
Adjusted R-squared0.412280460222882
F-TEST (value)4.44900153713548
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value9.98343333580287e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.695257304326818
Sum Squared Residuals22.7189878033303


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1109.66056655498020.339433445019795
29.29.2805665549802-0.0805665549802007
39.29.3805665549802-0.180566554980201
49.59.205287211899680.294712788100315
59.69.185287211899680.414712788100316
69.58.985287211899680.514712788100314
79.18.339984262361660.760015737638337
88.98.059984262361660.840015737638338
998.079984262361660.920015737638338
1010.19.125161310792970.974838689207026
1110.39.325161310792970.974838689207027
1210.29.085161310792971.11483868920703
139.69.060094425830030.539905574169967
149.28.680094425830030.519905574169966
159.38.780094425830030.519905574169967
169.48.729913442989140.670086557010864
179.48.709913442989140.690086557010864
189.28.509913442989140.690086557010864
1998.440062950553350.559937049446645
2098.160062950553360.839937049446644
2198.180062950553350.819937049446645
229.89.750653111991070.0493468880089356
23109.950653111991060.0493468880089351
249.89.710653111991060.089346888008936
259.39.085114097877960.214885902122044
2698.705114097877960.294885902122043
2798.805114097877960.194885902122043
289.18.880031475276680.219968524723321
299.18.860031475276680.239968524723322
309.18.660031475276680.439968524723322
319.29.21567278403899-0.0156727840389892
328.88.93567278403899-0.135672784038989
338.38.95567278403899-0.655672784038989
348.48.174413772971870.225586227028125
358.18.37441377297188-0.274413772971875
367.78.13441377297188-0.434413772971875
377.98.2844845923444-0.384484592344400
387.97.9044845923444-0.00448459234440062
3988.0044845923444-0.00448459234440128
407.97.92928393745558-0.0292839374555795
417.67.90928393745558-0.30928393745558
427.17.70928393745558-0.609283937455579
436.87.01394164382171-0.213941643821708
446.56.73394164382171-0.233941643821708
456.96.753941643821710.146058356178292
468.28.59974819778658-0.399748197786578
478.78.79974819778658-0.0997481977865782
488.38.55974819778658-0.259748197786576
497.98.6097403289674-0.709740328967406
507.58.2297403289674-0.729740328967407
517.88.3297403289674-0.529740328967408
528.39.45548393237892-1.15548393237892
538.49.43548393237892-1.03548393237892
548.29.23548393237892-1.03548393237892
557.78.79033835922429-1.09033835922429
567.28.51033835922429-1.31033835922429
577.38.53033835922429-1.23033835922429
588.18.9500236064575-0.850023606457509
598.59.1500236064575-0.650023606457508
608.48.9100236064575-0.510023606457508


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.01735080215790160.03470160431580330.982649197842098
170.00426406078980980.00852812157961960.99573593921019
180.001493280905012980.002986561810025950.998506719094987
190.000427088789720790.000854177579441580.99957291121028
200.0001416134780351560.0002832269560703130.999858386521965
215.21703675492622e-050.0001043407350985240.99994782963245
220.0001479137428292230.0002958274856584460.99985208625717
230.0001486559997138560.0002973119994277110.999851344000286
240.0001943239959589990.0003886479919179990.99980567600404
250.0007507957868056770.001501591573611350.999249204213194
260.0005200471533028950.001040094306605790.999479952846697
270.000361615374506580.000723230749013160.999638384625493
280.0004949365369807670.0009898730739615350.999505063463019
290.001031980855768860.002063961711537720.99896801914423
300.003728711010928130.007457422021856260.996271288989072
310.01125187889584290.02250375779168580.988748121104157
320.1378728873501920.2757457747003830.862127112649808
330.4522741613298040.9045483226596080.547725838670196
340.9370382987409020.1259234025181960.0629617012590978
350.9858442907099730.02831141858005410.0141557092900271
360.99608559058810.007828818823799620.00391440941189981
370.9943327775815810.01133444483683760.00566722241841879
380.9960694483435710.007861103312857310.00393055165642866
390.9942171903842860.01156561923142700.00578280961571351
400.9896911772544860.02061764549102740.0103088227455137
410.979062055157590.04187588968481880.0209379448424094
420.98983162321960.02033675356080110.0101683767804006
430.9864524685842970.0270950628314050.0135475314157025
440.9772516689206270.04549666215874670.0227483310793733


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level160.551724137931034NOK
5% type I error level260.896551724137931NOK
10% type I error level260.896551724137931NOK