Multiple Linear Regression - Estimated Regression Equation
rating[t] = + 96.7642422137256 -0.0252260374703789fat[t] + 0.0449018590792939sugars[t] -0.526265081499741calories[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)96.76424221372569.8923289.781700
fat-0.02522603747037890.017436-1.44680.1535350.076768
sugars0.04490185907929390.0213882.09940.0403050.020152
calories-0.5262650814997410.098533-5.3412e-061e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.710238953825194
R-squared0.504439371530707
Adjusted R-squared0.477891480719851
F-TEST (value)19.0011091700155
F-TEST (DF numerator)3
F-TEST (DF denominator)56
p-value1.26788004539691e-08
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10.5427147458672
Sum Squared Residuals6224.33471591263


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
168.40297369.2188221797966-0.815849179796559
233.98367939.2957928474057-5.31211384740571
359.42550567.7355116718193-8.31000667181927
434.38484340.9243694892068-6.53952648920677
533.17409437.0688843373356-3.89479033733558
649.12025349.9679097695849-0.847656769584894
753.31381352.63427023503520.6795427649648
818.04285129.6342692580486-11.5914182580486
950.76536.274227585670114.4907724143299
1019.82357330.3355482235454-10.5119752235454
1140.40020840.05813320622690.342074793773064
1222.73644636.8039987534471-14.0675527534471
1341.44501932.93433923403048.51067976596963
1445.86332438.39374826511697.46957573488307
1535.78279137.5027770580059-1.7199860580059
1622.39651337.25301734424-14.85650434424
1764.53381643.242197543103621.2916184568964
1846.89564434.672410777649612.2232332223504
1944.33085642.93693567072311.39392032927695
2032.20758237.0688843373356-4.86130233733558
2131.43597334.9524222316607-3.51644923166069
2241.01549236.08953666593164.92595533406839
2328.02576536.5921146672353-8.56634966723532
2435.25244444.7986367407562-9.54619274075624
2523.80404333.8323764156163-10.0283334156163
2652.07689744.42274683963857.65415016036154
2753.37100738.627824195926214.7431828040738
2821.87129230.0832878488416-8.21199584884158
2931.07221736.6097411982958-5.53752419829585
3036.52368337.2807684235473-0.757085423547345
3139.24111434.11238786962745.12872613037264
3245.32807444.61950505572760.708568944272386
3326.73451536.8039987534471-10.0694837534471
3454.85091748.40341067628456.44750632371555
3540.10596542.6291731374046-2.52320813740462
3629.92428530.6155596775565-0.691274677556475
3730.45084329.44957833831021.00126466168984
3860.75611271.124516024928-10.368404024928
3963.00564572.6960810927033-9.69043609270327
4049.51187445.67142350397273.84045049602729
4150.82839249.07693856247391.75145343752614
4239.25919739.09141074400770.167786255992325
433.703446.8923490889996-43.1889490889996
4455.33314254.33958937747130.993552622528729
4541.99893334.1678900282427.831042971758
4640.56015933.13109745011957.42906154988047
4768.23588558.92871230627939.30717269372072
4874.47294955.686645149850118.7863038501499
4972.80178754.788607968264218.0131790317358
5031.23005438.9053349889994-7.67528098899936
5153.13132435.542696879928117.5886271200719
5259.36399353.06316163382976.30083136617029
5338.83974635.40144082245363.43830517754637
5428.59278528.6216112726275-0.0288262726274982
5546.65884444.03173106839812.62711293160193
5639.10617435.2626854259173.84348857408297
5727.75330136.4659844798834-8.71268347988343
5849.78744543.49945923968326.28798576031682
5951.59219344.03173106839817.56046193160192
6036.18755936.523987299436-0.336428299435975


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.04606673581151110.09213347162302220.953933264188489
80.02833705709150020.05667411418300030.9716629429085
90.3452053891304440.6904107782608870.654794610869556
100.3026217851862170.6052435703724350.697378214813782
110.2173715140067970.4347430280135930.782628485993203
120.2327826616492740.4655653232985470.767217338350726
130.2259473839781240.4518947679562480.774052616021876
140.1723389297290030.3446778594580050.827661070270997
150.1159307298104430.2318614596208860.884069270189557
160.1548092816823450.3096185633646910.845190718317655
170.3759842563834940.7519685127669870.624015743616506
180.3877520501925270.7755041003850540.612247949807473
190.3053777210513360.6107554421026720.694622278948664
200.2541324198035350.5082648396070690.745867580196465
210.2022964848876350.4045929697752690.797703515112365
220.2336959214248130.4673918428496270.766304078575186
230.2096984823374620.4193969646749240.790301517662538
240.1903820365736850.380764073147370.809617963426315
250.1943691461305960.3887382922611920.805630853869404
260.1740654087353580.3481308174707150.825934591264642
270.2424981751884650.484996350376930.757501824811535
280.2140371567670.4280743135340.785962843233
290.1717407877307240.3434815754614490.828259212269276
300.1265188441322430.2530376882644860.873481155867757
310.09588862900718410.1917772580143680.904111370992816
320.06639755254630330.1327951050926070.933602447453697
330.0641576322570170.1283152645140340.935842367742983
340.05081946399802020.101638927996040.94918053600198
350.03412707760824730.06825415521649470.965872922391753
360.02229633547794020.04459267095588040.97770366452206
370.01523190158167040.03046380316334090.98476809841833
380.01463982585662320.02927965171324640.985360174143377
390.01542077981988650.0308415596397730.984579220180113
400.009735317481768480.0194706349635370.990264682518232
410.005750381608528710.01150076321705740.994249618391471
420.003137226027516660.006274452055033320.996862773972483
430.9448023996806290.1103952006387420.055197600319371
440.9364989820430620.1270020359138760.0635010179569382
450.9198757398005240.1602485203989520.0801242601994759
460.8917159556695320.2165680886609360.108284044330468
470.8621528478365430.2756943043269140.137847152163457
480.8571232772962810.2857534454074380.142876722703719
490.912843870439370.1743122591212590.0871561295606297
500.8595272084551080.2809455830897840.140472791544892
510.9860033473580560.02799330528388790.013996652641944
520.989806391210030.02038721757994050.0101936087899702
530.9890712779749660.02185744405006790.010928722025034


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0212765957446809NOK
5% type I error level100.212765957446809NOK
10% type I error level130.276595744680851NOK