Multiple Linear Regression - Estimated Regression Equation
TimIN[t] = -262.050387124644 + 0.533838453356457Sunset[t] + 0.0203959280203797Date[t] -0.453922028780611Humidity[t] + 1.19679108229863Dewpoint[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-262.050387124644493.105884-0.53140.5991690.299585
Sunset0.5338384533564570.1383943.85740.0005880.000294
Date0.02039592802037970.0100562.02820.0518140.025907
Humidity-0.4539220287806110.111542-4.06950.0003310.000166
Dewpoint1.196791082298630.4251252.81520.0086730.004336


Multiple Linear Regression - Regression Statistics
Multiple R0.813780190055558
R-squared0.662238197726861
Adjusted R-squared0.615650362930565
F-TEST (value)14.2148309880142
F-TEST (DF numerator)4
F-TEST (DF denominator)29
p-value1.54974100674554e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.62953512885713
Sum Squared Residuals2689.11045713891


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112251216.713234858088.28676514191853
212141219.90125886294-5.90125886294268
312051220.02597456241-15.0259745624099
411961216.55393456039-20.5539345603948
512091199.809151982569.19084801743708
611921193.80667905786-1.80667905786333
711961198.82707662235-2.82707662234768
811741186.48820239236-12.4882023923605
911831189.15221406849-6.15221406848868
1012101196.5148878243113.4851121756931
1112101198.3950274635711.604972536432
1212181196.0312762943521.968723705653
1312191207.1325987712911.8674012287117
1412151211.967042974763.03295702523582
1512061202.220860236823.77913976317648
1612021196.465368282875.53463171713484
1711951194.667595496370.332404503626893
1812031197.620172480045.37982751996342
1911941193.871205608180.128794391815823
2011701189.40236111394-19.4023611139439
2111891189.95028016863-0.950280168625818
2211991191.201696650447.79830334956049
2311961196.94178154113-0.941781541134477
2411891186.706207003222.29379299677648
2511851191.92827922707-6.92827922707024
2611921191.331867664390.668132335611023
2711881185.01108316932.98891683069902
2811761181.3201864425-5.32018644250062
2911771180.23168308858-3.23168308858497
3011661172.86411423573-6.86411423572638
3111761173.846613064442.15338693556414
3211811181.04222227409-0.0422222740886662
3311761173.133192213592.86680778640789
3411771181.92466974294-4.92466974293498


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.8591211791090510.2817576417818980.140878820890949
90.8955755872984550.2088488254030910.104424412701545
100.9923599834903670.0152800330192650.00764001650963249
110.9920629791648310.01587404167033810.00793702083516903
120.9948767656851820.01024646862963690.00512323431481843
130.9942520606085440.01149587878291280.00574793939145642
140.9893415468471410.02131690630571730.0106584531528586
150.9788468854284180.04230622914316450.0211531145715822
160.9642432428472310.07151351430553870.0357567571527694
170.9417177667289650.1165644665420710.0582822332710354
180.9299222255036280.1401555489927440.0700777744963722
190.9102156020640950.1795687958718090.0897843979359046
200.9980130280581590.003973943883682740.00198697194184137
210.9982216980691940.003556603861612480.00177830193080624
220.9957198658067350.008560268386529320.00428013419326466
230.9902575270004250.01948494599914940.00974247299957472
240.972021187980920.05595762403815980.0279788120190799
250.9796947587728310.04061048245433880.0203052412271694
260.932092353389130.1358152932217390.0679076466108696


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.157894736842105NOK
5% type I error level110.578947368421053NOK
10% type I error level130.684210526315789NOK