Multiple Linear Regression - Estimated Regression Equation
HPC[t] = + 16.5858823529412 -0.274705882352939M1[t] -0.496078431372549M2[t] + 1.45352941176471M3[t] -0.116862745098041M4[t] -0.00725490196078604M5[t] + 1.04235294117647M6[t] -0.588039215686275M7[t] -1.19843137254902M8[t] + 0.931176470588234M9[t] + 1.14078431372549M10[t] + 0.690392156862744M11[t] + 0.0103921568627451t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)16.58588235294121.07742215.39400
M1-0.2747058823529391.256527-0.21860.8278710.413935
M2-0.4960784313725491.318858-0.37610.7084690.354234
M31.453529411764711.3171741.10350.2753030.137651
M4-0.1168627450980411.315665-0.08880.9295910.464796
M5-0.007254901960786041.314333-0.00550.9956190.497809
M61.042352941176471.3131770.79380.4312390.21562
M7-0.5880392156862751.312198-0.44810.6560730.328037
M8-1.198431372549021.311396-0.91390.3653590.182679
M90.9311764705882341.3107720.71040.4808920.240446
M101.140784313725491.3103270.87060.38830.19415
M110.6903921568627441.3100590.5270.6006260.300313
t0.01039215686274510.0152860.67980.4998680.249934


Multiple Linear Regression - Regression Statistics
Multiple R0.401668044404094
R-squared0.161337217895409
Adjusted R-squared-0.0483284776307384
F-TEST (value)0.769497449215714
F-TEST (DF numerator)12
F-TEST (DF denominator)48
p-value0.677733752311882
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.0712441400235
Sum Squared Residuals205.922509803921


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
114.116.3215686274510-2.22156862745096
214.816.1105882352941-1.31058823529412
316.818.0705882352941-1.27058823529412
415.416.5105882352941-1.11058823529412
515.216.6305882352941-1.43058823529412
616.917.6905882352941-0.79058823529412
714.116.0705882352941-1.97058823529412
814.715.4705882352941-0.770588235294119
916.517.6105882352941-1.11058823529412
1015.217.8305882352941-2.63058823529412
1117.617.39058823529410.209411764705882
121816.71058823529411.28941176470588
1316.916.44627450980390.453725490196074
1416.716.23529411764710.464705882352941
1519.718.19529411764711.50470588235294
1615.916.6352941176471-0.735294117647057
1717.416.75529411764710.644705882352941
1817.717.8152941176471-0.115294117647059
1915.216.1952941176471-0.99529411764706
2015.715.59529411764710.104705882352941
2117.217.7352941176471-0.53529411764706
2217.717.9552941176471-0.255294117647060
2317.917.51529411764710.384705882352940
2416.216.8352941176471-0.63529411764706
2517.516.57098039215690.929019607843134
2616.816.360.440000000000001
2719.118.320.780000000000002
2816.716.76-0.0599999999999994
2918.216.881.32
3018.517.940.560000000000001
3117.816.321.48
3216.415.720.68
331817.860.140000000000000
3420.318.082.22
3519.517.641.86
361816.961.04
3720.216.69568627450983.50431372549019
381916.48470588235292.51529411764706
3920.218.44470588235291.75529411764706
4021.516.88470588235294.61529411764706
4119.717.00470588235292.69529411764706
4221.118.06470588235293.03529411764706
4320.216.44470588235293.75529411764706
4418.215.84470588235292.35529411764706
4521.317.98470588235293.31529411764706
4620.418.20470588235292.19529411764706
4717.217.7647058823529-0.564705882352941
4815.817.0847058823529-1.28470588235294
4915.116.8203921568627-1.72039215686275
5014.516.6094117647059-2.10941176470588
5115.818.5694117647059-2.76941176470588
5214.317.0094117647059-2.70941176470588
5313.917.1294117647059-3.22941176470588
5415.518.1894117647059-2.68941176470588
5514.316.5694117647059-2.26941176470588
5613.615.9694117647059-2.36941176470588
5716.318.1094117647059-1.80941176470588
5816.818.3294117647059-1.52941176470588
591617.8894117647059-1.88941176470588
6016.817.2094117647059-0.409411764705882
611616.9450980392157-0.945098039215689


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.06064082984484510.1212816596896900.939359170155155
170.01771742033000130.03543484066000260.982282579669999
180.00959064670563710.01918129341127420.990409353294363
190.004073683268820220.008147366537640440.99592631673118
200.001542863847201550.003085727694403100.998457136152799
210.0007865850403931740.001573170080786350.999213414959607
220.0004559584592783120.0009119169185566230.999544041540722
230.0003324386990327670.0006648773980655340.999667561300967
240.003998828132111510.007997656264223020.996001171867889
250.001957546018073040.003915092036146090.998042453981927
260.001096302255810040.002192604511620070.99890369774419
270.0005638541553078320.001127708310615660.999436145844692
280.0004252640423797030.0008505280847594070.99957473595762
290.0001786357134326280.0003572714268652560.999821364286567
300.0001001243451766110.0002002486903532220.999899875654823
310.0001328828553463310.0002657657106926620.999867117144654
329.37031650326252e-050.0001874063300652500.999906296834967
330.0002123103598878020.0004246207197756030.999787689640112
340.0007281577300854390.001456315460170880.999271842269915
350.0004148291618400040.0008296583236800070.99958517083816
360.0007737585133638710.001547517026727740.999226241486636
370.0008169341333535550.001633868266707110.999183065866647
380.0003661267984815730.0007322535969631450.999633873201518
390.0001801621251920980.0003603242503841950.999819837874808
400.002191287102460360.004382574204920720.99780871289754
410.001945537839512100.003891075679024190.998054462160488
420.002173966197247060.004347932394494130.997826033802753
430.007510175595032520.01502035119006500.992489824404967
440.0100155268172450.020031053634490.989984473182755
450.06911075294969770.1382215058993950.930889247050302


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level240.8NOK
5% type I error level280.933333333333333NOK
10% type I error level280.933333333333333NOK