Multiple Linear Regression - Estimated Regression Equation |
IndGez[t] = + 3.875 + 0.283333333333334InvlCrisis[t] + e[t] |
Multiple Linear Regression - Ordinary Least Squares | |||||
Variable | Parameter | S.D. | T-STAT H0: parameter = 0 | 2-tail p-value | 1-tail p-value |
(Intercept) | 3.875 | 0.162436 | 23.8556 | 0 | 0 |
InvlCrisis | 0.283333333333334 | 0.350901 | 0.8074 | 0.422953 | 0.211477 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.109221891825004 |
R-squared | 0.0119294216538329 |
Adjusted R-squared | -0.0063681816488741 |
F-TEST (value) | 0.651966350809897 |
F-TEST (DF numerator) | 1 |
F-TEST (DF denominator) | 54 |
p-value | 0.422953016391424 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 1.07747704853675 |
Sum Squared Residuals | 62.6916666666667 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 1.4 | 3.87500000000001 | -2.47500000000001 |
2 | 1.6 | 3.875 | -2.275 |
3 | 1.7 | 3.875 | -2.175 |
4 | 2 | 3.875 | -1.875 |
5 | 2 | 3.875 | -1.875 |
6 | 2.1 | 3.875 | -1.775 |
7 | 2.5 | 3.875 | -1.375 |
8 | 2.5 | 3.875 | -1.375 |
9 | 2.6 | 3.875 | -1.275 |
10 | 2.7 | 3.875 | -1.175 |
11 | 3.7 | 3.875 | -0.175000000000000 |
12 | 4 | 3.875 | 0.125000000000000 |
13 | 5 | 3.875 | 1.125 |
14 | 5.1 | 3.875 | 1.225 |
15 | 5.1 | 3.875 | 1.225 |
16 | 5 | 3.875 | 1.125 |
17 | 5.1 | 3.875 | 1.225 |
18 | 4.7 | 3.875 | 0.825 |
19 | 4.5 | 3.875 | 0.625 |
20 | 4.5 | 3.875 | 0.625 |
21 | 4.6 | 3.875 | 0.725 |
22 | 4.6 | 3.875 | 0.725 |
23 | 4.6 | 3.875 | 0.725 |
24 | 4.6 | 3.875 | 0.725 |
25 | 5.3 | 3.875 | 1.425 |
26 | 5.4 | 3.875 | 1.525 |
27 | 5.3 | 3.875 | 1.425 |
28 | 5.2 | 3.875 | 1.325 |
29 | 5 | 3.875 | 1.125 |
30 | 4.2 | 3.875 | 0.325000000000001 |
31 | 4.3 | 3.875 | 0.425 |
32 | 4.3 | 3.875 | 0.425 |
33 | 4.3 | 3.875 | 0.425 |
34 | 4 | 3.875 | 0.125000000000000 |
35 | 4 | 3.875 | 0.125000000000000 |
36 | 4.1 | 3.875 | 0.225 |
37 | 4.4 | 3.875 | 0.525000000000001 |
38 | 3.6 | 3.875 | -0.275000000000000 |
39 | 3.7 | 3.875 | -0.175000000000000 |
40 | 3.8 | 3.875 | -0.075 |
41 | 3.3 | 3.875 | -0.575 |
42 | 3.3 | 3.875 | -0.575 |
43 | 3.3 | 3.875 | -0.575 |
44 | 3.5 | 3.875 | -0.375 |
45 | 3.3 | 4.15833333333333 | -0.858333333333334 |
46 | 3.3 | 4.15833333333333 | -0.858333333333334 |
47 | 3.4 | 4.15833333333333 | -0.758333333333334 |
48 | 3.4 | 4.15833333333333 | -0.758333333333334 |
49 | 5.2 | 4.15833333333333 | 1.04166666666667 |
50 | 5.3 | 4.15833333333333 | 1.14166666666667 |
51 | 4.8 | 4.15833333333333 | 0.641666666666666 |
52 | 5 | 4.15833333333333 | 0.841666666666667 |
53 | 4.6 | 4.15833333333333 | 0.441666666666666 |
54 | 4.6 | 4.15833333333333 | 0.441666666666666 |
55 | 3.5 | 4.15833333333333 | -0.658333333333333 |
56 | 3.5 | 4.15833333333333 | -0.658333333333333 |
Goldfeld-Quandt test for Heteroskedasticity | |||
p-values | Alternative Hypothesis | ||
breakpoint index | greater | 2-sided | less |
5 | 0.0527094398563502 | 0.105418879712700 | 0.94729056014365 |
6 | 0.0337942673593572 | 0.0675885347187145 | 0.966205732640643 |
7 | 0.0651274295345408 | 0.130254859069082 | 0.934872570465459 |
8 | 0.079672604658547 | 0.159345209317094 | 0.920327395341453 |
9 | 0.104658246361076 | 0.209316492722153 | 0.895341753638924 |
10 | 0.147142636146951 | 0.294285272293902 | 0.85285736385305 |
11 | 0.537105652558234 | 0.925788694883531 | 0.462894347441766 |
12 | 0.814505527755719 | 0.370988944488562 | 0.185494472244281 |
13 | 0.984093402201489 | 0.0318131955970227 | 0.0159065977985114 |
14 | 0.997927546090891 | 0.00414490781821724 | 0.00207245390910862 |
15 | 0.999518990634363 | 0.000962018731273072 | 0.000481009365636536 |
16 | 0.999793172219192 | 0.000413655561617042 | 0.000206827780808521 |
17 | 0.999904937626932 | 0.000190124746135890 | 9.50623730679448e-05 |
18 | 0.999897062683922 | 0.000205874632155162 | 0.000102937316077581 |
19 | 0.99985030189858 | 0.000299396202839092 | 0.000149698101419546 |
20 | 0.999773976350987 | 0.000452047298025622 | 0.000226023649012811 |
21 | 0.999677606054362 | 0.00064478789127646 | 0.00032239394563823 |
22 | 0.999528455746485 | 0.000943088507030053 | 0.000471544253515027 |
23 | 0.99929952546569 | 0.00140094906862048 | 0.000700474534310241 |
24 | 0.998951243301706 | 0.00209751339658784 | 0.00104875669829392 |
25 | 0.999350073335156 | 0.00129985332968868 | 0.000649926664844341 |
26 | 0.999692470589756 | 0.000615058820488962 | 0.000307529410244481 |
27 | 0.999845106375087 | 0.000309787249826444 | 0.000154893624913222 |
28 | 0.999919598240511 | 0.000160803518977141 | 8.04017594885707e-05 |
29 | 0.999946197949832 | 0.000107604100335516 | 5.38020501677579e-05 |
30 | 0.99988804960212 | 0.000223900795759998 | 0.000111950397879999 |
31 | 0.999794128305176 | 0.00041174338964791 | 0.000205871694823955 |
32 | 0.999638802830798 | 0.000722394338404971 | 0.000361197169202485 |
33 | 0.999399036256876 | 0.00120192748624810 | 0.000600963743124051 |
34 | 0.998805590058363 | 0.00238881988327498 | 0.00119440994163749 |
35 | 0.997726043414507 | 0.00454791317098571 | 0.00227395658549285 |
36 | 0.996118034545108 | 0.00776393090978416 | 0.00388196545489208 |
37 | 0.995523032779726 | 0.00895393444054715 | 0.00447696722027357 |
38 | 0.99148247102881 | 0.0170350579423808 | 0.0085175289711904 |
39 | 0.984731123935926 | 0.0305377521281481 | 0.0152688760640740 |
40 | 0.975039507185397 | 0.0499209856292067 | 0.0249604928146034 |
41 | 0.957803852785228 | 0.084392294429545 | 0.0421961472147725 |
42 | 0.931238380912248 | 0.137523238175505 | 0.0687616190877525 |
43 | 0.892567873156454 | 0.214864253687092 | 0.107432126843546 |
44 | 0.835594126956946 | 0.328811746086107 | 0.164405873043054 |
45 | 0.814712316751411 | 0.370575366497179 | 0.185287683248589 |
46 | 0.805202202511108 | 0.389595594977785 | 0.194797797488893 |
47 | 0.798258124661317 | 0.403483750677367 | 0.201741875338684 |
48 | 0.820167897988967 | 0.359664204022065 | 0.179832102011033 |
49 | 0.785793418115662 | 0.428413163768677 | 0.214206581884338 |
50 | 0.780699374929222 | 0.438601250141556 | 0.219300625070778 |
51 | 0.670612407669893 | 0.658775184660214 | 0.329387592330107 |
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity | |||
Description | # significant tests | % significant tests | OK/NOK |
1% type I error level | 24 | 0.51063829787234 | NOK |
5% type I error level | 28 | 0.595744680851064 | NOK |
10% type I error level | 30 | 0.638297872340426 | NOK |