Multiple Linear Regression - Estimated Regression Equation
15thbird[t] = + 695.014963905026 + 0.770099034363092Temp[t] -0.255338165152052Humidity[t] -14.6017049143097Rain[t] + 0.405251102776886Sunset[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)695.014963905026231.3233063.00450.0055550.002777
Temp0.7700990343630920.6337891.21510.2344860.117243
Humidity-0.2553381651520520.171906-1.48530.1486280.074314
Rain-14.60170491430977.639267-1.91140.0662380.033119
Sunset0.4052511027768860.2054131.97290.0584590.029229


Multiple Linear Regression - Regression Statistics
Multiple R0.687037774613739
R-squared0.472020903746199
Adjusted R-squared0.396595318567085
F-TEST (value)6.25810065146043
F-TEST (DF numerator)4
F-TEST (DF denominator)28
p-value0.000995225294384894
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.8254755896574
Sum Squared Residuals6154.25234086676


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112171196.9856364030120.0143635969855
212021201.752103668590.247896331406423
311801202.12105846943-22.1210584694276
411671196.75081025376-29.7508102537615
511861165.5965028574320.4034971425691
611681167.71220053420.2877994658008
711421155.42353573493-13.4235357349254
811471172.25446564032-25.254465640322
911831178.658387124344.34161287566031
1011491180.33240341434-31.3324034143432
1111971183.2953864771713.7046135228315
1212101182.3186108480227.6813891519787
1312061188.9251467182617.074853281743
1411961178.9465802434717.053419756526
1511901180.531134234729.46886576527812
1611751175.12454505643-0.124545056431168
1711861176.551414589449.4485854105627
1811721170.735445108781.26455489121893
1911521151.748193246490.251806753513895
2011541152.879366103831.12063389616881
2111681167.339349488670.660650511329182
2211801176.74237388923.25762611080088
2311691166.151790395492.84820960450827
2411661170.67932464257-4.67932464256811
2511771172.361311231794.63868876821305
2611681164.928156109313.07184389069092
2711601161.50337939549-1.50337939548688
2811471155.64020152313-8.64020152312721
2911611164.62022814727-3.62022814726808
3011611169.95011785243-8.95011785242521
3111611172.49963607398-11.4996360739781
3211681161.317502916566.68249708343727
3311721174.62370160716-2.62370160715883


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.3932305310928920.7864610621857850.606769468907108
90.97858330682770.04283338634459940.0214166931722997
100.9999486535864260.0001026928271475665.13464135737831e-05
110.9999950724785069.85504298816542e-064.92752149408271e-06
120.9999994545402091.09091958122719e-065.45459790613597e-07
130.9999979172915254.16541694907099e-062.0827084745355e-06
140.9999976303093744.73938125140203e-062.36969062570101e-06
150.9999957879237278.42415254537121e-064.21207627268561e-06
160.9999835667369013.28665261975354e-051.64332630987677e-05
170.9999812990804123.74018391758942e-051.87009195879471e-05
180.9999299828618420.0001400342763169887.00171381584939e-05
190.9997627905797240.0004744188405519570.000237209420275978
200.9993218050128670.001356389974265960.000678194987132978
210.9987349482304160.002530103539168410.0012650517695842
220.9968129741752810.006374051649437210.0031870258247186
230.9889717355660580.02205652886788310.0110282644339415
240.9840683645897520.03186327082049580.0159316354102479
250.9797930811567090.04041383768658150.0202069188432908


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level130.722222222222222NOK
5% type I error level170.944444444444444NOK
10% type I error level170.944444444444444NOK