Multiple Linear Regression - Estimated Regression Equation
TimeIn[t] = -691.543620463383 + 0.0231072136227715Date[t] + 0.785589415565234Sunset[t] + 0.7470913433272Temp[t] -0.257342357332257Dewpoint[t] -0.0329868786295858Humidity[t] -16.73008746253Rain[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-691.543620463383568.719738-1.2160.234150.117075
Date0.02310721362277150.0114692.01470.0536260.026813
Sunset0.7855894155652340.1498075.2441.4e-057e-06
Temp0.74709134332721.5315530.48780.6294890.314745
Dewpoint-0.2573423573322571.690645-0.15220.8801090.440054
Humidity-0.03298687862958580.439549-0.0750.9407110.470355
Rain-16.730087462535.382611-3.10820.0042910.002146


Multiple Linear Regression - Regression Statistics
Multiple R0.833389659213899
R-squared0.694538324084659
Adjusted R-squared0.629082250674228
F-TEST (value)10.6107544784986
F-TEST (DF numerator)6
F-TEST (DF denominator)28
p-value3.77900313952573e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10.6505459220608
Sum Squared Residuals3176.1555962619


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112251218.157343868526.84265613148283
212141220.44498067032-6.44498067031628
312051219.67200012903-14.6720001290315
411961216.01732449338-20.0173244933825
512091189.7076360713619.2923639286405
611921203.32418663531-11.32418663531
711961187.810880051838.18911994817215
811741181.65467159715-7.65467159714901
911831198.6749854858-15.6749854858036
1012101200.209319779479.79068022052556
1112051200.949299489854.05070051014911
1212181203.3450520477114.654947952288
1312241208.0317390464915.9682609535083
1412151211.0477417793.95225822100238
1512061204.349888066261.65011193374426
1612021203.36566182563-1.3656618256333
1712151199.6283037773315.3716962226669
1812031199.742034002063.25796599793583
1911941197.1199074065-3.11990740649736
2011701180.40217672079-10.4021767207901
2111841177.897348616796.102651383212
2211991193.350999773315.64900022669084
2311961195.567155695640.432844304358663
2411891189.70785834819-0.707858348186726
2511851189.94922937268-4.94922937267651
2611921189.706942230262.29305776974357
2711881185.09325122862.90674877139628
2811761182.90451472693-6.90451472693063
2911541169.52728694209-15.5272869420855
3011771181.02617961252-4.02617961252112
3111661176.4732007632-10.4732007632046
3211761173.815449043082.18455095692015
3311811174.496039156066.50396084394164
3411761168.695001851417.30499814859439
3511721175.13440969545-3.13440969545471


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.9396081164993130.1207837670013730.0603918835006867
110.9699833381418790.06003332371624230.0300166618581211
120.9973798577087370.00524028458252550.00262014229126275
130.9969060764241280.006187847151743590.0030939235758718
140.9943722356832080.01125552863358380.00562776431679191
150.9901992246846790.01960155063064260.00980077531532131
160.9825564102784780.03488717944304430.0174435897215222
170.9870638055066160.02587238898676860.0129361944933843
180.9757323413975960.04853531720480810.024267658602404
190.9761836873745820.04763262525083570.0238163126254178
200.9963710699080110.007257860183978050.00362893009198902
210.9963659519634070.007268096073185020.00363404803659251
220.9926984987783390.0146030024433210.00730150122166051
230.981059414338970.037881171322060.01894058566103
240.949484021589580.1010319568208390.0505159784104197
250.9467795475208720.1064409049582550.0532204524791276


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.25NOK
5% type I error level120.75NOK
10% type I error level130.8125NOK