Multiple Linear Regression - Estimated Regression Equation
TimeIN[t] = -589.153131937757 + 0.853868269729681Temp[t] + 0.660291099516269Sunset[t] -13.7972323210149Rain[t] + 0.02404201437702Day[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-589.153131937757498.708881-1.18140.2470590.123529
Temp0.8538682697296810.3811452.24030.0329020.016451
Sunset0.6602910995162690.1377154.79464.5e-052.2e-05
Rain-13.79723232101495.331388-2.58790.0149320.007466
Day0.024042014377020.0105282.28360.0299040.014952


Multiple Linear Regression - Regression Statistics
Multiple R0.816370605487054
R-squared0.6664609655033
Adjusted R-squared0.620455581434789
F-TEST (value)14.4865862767457
F-TEST (DF numerator)4
F-TEST (DF denominator)29
p-value1.29877506571674e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10.0629817155652
Sum Squared Residuals2936.64442922621


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112251216.846613219688.15338678031521
212141219.11351625163-5.11351625162615
312051218.84161799065-13.8416179906463
411961215.81453775026-19.8145377502639
512091192.6090166821616.3909833178385
611921200.39062981874-8.39062981874016
711961187.858462122268.14153787774124
811741183.7441566475-9.7441566474953
911831197.84439498007-14.8443949800736
1012101199.451006912510.548993087501
1112051201.120202155633.8797978443701
1212181204.0076164926513.9923835073502
1312241208.7780751068515.2219248931514
1412151211.386525446683.61347455331783
1512061204.454454681811.54554531818925
1612021198.097288189483.90271181051736
1712151196.8007480048318.1992519951729
1812031198.834294072124.16570592788264
1911941198.71036594882-4.71036594881592
2011701184.95415192035-14.9541519203486
2111841183.834212627740.165787372264091
2211991197.359546687771.64045331222907
2311961196.06300650312-0.0630065031154115
2411891190.64509510749-1.64509510748994
2511851192.32135608683-7.32135608682731
2611921190.318917770121.68108222987942
2711881187.058480565090.94151943491321
2811761185.05604224838-9.05604224838005
2911771180.07213072383-3.07213072382591
3011661176.10579538674-10.1057953867409
3111761171.218474385454.78152561455286
3211811174.424632514096.57536748590854
3311761172.103450405763.89654959423968
3411721176.76118459295-4.76118459294509


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.2509809528963230.5019619057926470.749019047103677
90.8506834680368850.2986330639262310.149316531963115
100.9935329340488880.01293413190222350.00646706595111173
110.9967826652162010.006434669567598090.00321733478379904
120.9949901669036420.01001966619271510.00500983309635757
130.9949961168685180.01000776626296490.00500388313148246
140.9918251708119590.01634965837608270.00817482918804133
150.9859075345782160.02818493084356850.0140924654217842
160.9738038220173370.05239235596532660.0261961779826633
170.9918691201916460.01626175961670820.00813087980835411
180.9871570393809770.02568592123804550.0128429606190228
190.9849150286028020.03016994279439630.0150849713971981
200.9989455623774060.002108875245187850.00105443762259393
210.996714544251560.006570911496880150.00328545574844008
220.99044418393170.01911163213660050.00955581606830024
230.9745936396304310.05081272073913780.0254063603695689
240.9496731386852680.1006537226294650.0503268613147323
250.9391080639244220.1217838721511570.0608919360755784
260.8514028073731340.2971943852537320.148597192626866


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.157894736842105NOK
5% type I error level120.631578947368421NOK
10% type I error level140.736842105263158NOK