Multiple Linear Regression - Estimated Regression Equation
PTS[t] = -8.25378823736931 -0.138746253359528GP[t] + 0.475565079725881MPG[t] + 13.8023349623116`FG%`[t] + 3.66883800708314`3P%`[t] + 5.21247632827379`FT%`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-8.253788237369315.655286-1.45950.1478020.073901
GP-0.1387462533595280.097051-1.42960.1561760.078088
MPG0.4755650797258810.0760726.251500
`FG%`13.80233496231165.9742072.31030.0230820.011541
`3P%`3.668838007083141.9826291.85050.0674180.033709
`FT%`5.212476328273793.7195821.40140.1644350.082217


Multiple Linear Regression - Regression Statistics
Multiple R0.570416380404103
R-squared0.325374847033319
Adjusted R-squared0.289104677518981
F-TEST (value)8.97086645555096
F-TEST (DF numerator)5
F-TEST (DF denominator)93
p-value5.53215960819031e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.90091351430825
Sum Squared Residuals782.622827227149


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
129.219.24037610344979.95962389655033
227.718.62927033343659.07072966656351
32720.83324111113166.16675888886839
425.219.6125461820985.58745381790197
524.719.19579538247495.50420461752513
623.419.35261586745444.04738413254562
721.517.04155295466694.45844704533305
821.216.48266074332744.71733925667264
92117.60509592870773.39490407129233
1020.818.47967558699192.32032441300808
1120.217.68497352083272.51502647916732
122018.71571599485521.28428400514483
1319.216.31391666252712.88608333747289
141918.11519671357650.884803286423483
1518.916.9499937824371.950006217563
1618.817.82571841746470.974281582535269
1718.716.62314529661312.0768547033869
1818.514.6240538507693.87594614923097
1918.517.96630494287020.533695057129789
2018.418.29771485224710.10228514775288
2118.418.4415308316813-0.0415308316812871
2218.417.2577330927511.14226690724899
2318.317.62829042305770.6717095769423
2418.115.44564731178552.65435268821448
251818.5628341395396-0.56283413953957
2617.820.2580892297438-2.45808922974383
2717.716.97421564132030.72578435867972
2817.716.94582584836210.754174151637896
2917.617.44323787490930.156762125090653
3017.515.28683007524342.21316992475663
3117.516.02460329986911.47539670013086
3217.316.8387194455510.461280554448968
3317.216.28510930798170.914890692018314
3417.214.34525628779042.85474371220963
3517.217.7568322316568-0.556832231656815
3616.917.1298799530528-0.229879953052842
3716.817.6833251488455-0.883325148845489
3816.418.3914089628738-1.99140896287381
3916.217.2340799085718-1.0340799085718
4016.117.449865004211-1.34986500421096
4116.114.40963398518561.69036601481443
421615.36313758818710.636862411812851
431618.0355113942722-2.03551139427221
441617.8339118084952-1.83391180849524
451614.30585475131911.6941452486809
4615.916.9506398287816-1.05063982878156
4715.815.39108541002950.408914589970543
4815.815.9467365466172-0.146736546617204
4915.815.66665270775850.133347292241487
5015.618.5364506051444-2.93645060514441
5115.615.34310699466680.256893005333171
5215.516.6420491020871-1.14204910208705
5315.417.1406591481355-1.7406591481355
5415.215.2364903938828-0.03649039388285
5515.216.2053806073114-1.00538060731139
5615.214.98402462663410.21597537336591
5715.115.7945172066497-0.694517206649726
581517.6228372060991-2.62283720609908
591515.4120577912117-0.412057791211747
601513.60243952595141.39756047404856
6114.812.81665762715361.98334237284637
6214.816.941666830524-2.14166683052401
6314.716.5391823333148-1.83918233331481
6414.715.1741089621776-0.47410896217763
6514.616.7912511463791-2.19125114637914
6614.512.41427823481092.08572176518912
6714.513.47261895708521.02738104291478
6814.418.072243873094-3.67224387309399
6914.317.3038084902483-3.0038084902483
7014.313.2046958055461.09530419445404
7114.217.2703835493288-3.0703835493288
7214.212.74668038115391.4533196188461
7314.116.4497505266997-2.34975052669967
741412.69594353685361.30405646314636
7513.915.0563112686117-1.15631126861172
7613.815.8970715774327-2.0970715774327
7713.815.367033098035-1.567033098035
7813.613.28533747415120.314662525848774
7913.614.6618275170743-1.06182751707433
8013.618.710453168801-5.110453168801
8113.516.4066213747331-2.90662137473307
8213.415.3738148179406-1.9738148179406
8313.313.17049146135990.129508538640148
8413.312.79659875933360.503401240666425
851318.2391360170159-5.23913601701592
8612.917.3921065391809-4.49210653918085
8712.912.9836990465517-0.0836990465517343
8812.816.4982983797808-3.69829837978081
8912.711.25973857283011.44026142716987
9012.619.1438110470685-6.54381104706846
9112.616.2810891144098-3.68108911440983
9212.616.7397281173358-4.13972811733583
9312.514.9107114482965-2.4107114482965
9412.515.6963922771775-3.19639227717748
9512.413.9914180904594-1.59141809045937
9612.411.7888460954290.611153904570975
9712.416.8037637207309-4.40376372073094
9812.315.6257831379811-3.32578313798108
9912.314.8305921487596-2.53059214875965


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.8668701435721970.2662597128556070.133129856427803
100.967340360519540.06531927896091920.0326596394804596
110.9502218848429750.09955623031405040.0497781151570252
120.9866181352048380.02676372959032450.0133818647951623
130.9808747495446320.03825050091073520.0191252504553676
140.9937331480263980.01253370394720370.00626685197360187
150.992232704305830.01553459138834050.00776729569417027
160.9926369690353020.01472606192939610.00736303096469803
170.9904382905980990.01912341880380220.00956170940190108
180.994778011813380.01044397637324020.0052219881866201
190.9970260339911270.005947932017745610.00297396600887281
200.9983683046613480.003263390677304730.00163169533865237
210.9990957584621770.001808483075645830.000904241537822915
220.9993645980069240.001270803986152470.000635401993076236
230.9996606792358910.0006786415282170770.000339320764108538
240.9997539103149530.0004921793700946640.000246089685047332
250.9998887547784620.000222490443075380.00011124522153769
260.9999893444413492.13111173011088e-051.06555586505544e-05
270.9999969262768456.1474463096284e-063.0737231548142e-06
280.9999969401937886.1196124247624e-063.0598062123812e-06
290.9999973241391275.35172174656307e-062.67586087328154e-06
300.9999986980907912.60381841764247e-061.30190920882124e-06
310.9999986872113712.62557725854156e-061.31278862927078e-06
320.9999990520205691.89595886187817e-069.47979430939085e-07
330.9999993061711121.38765777696306e-066.93828888481528e-07
340.9999995979922588.04015483147849e-074.02007741573925e-07
350.9999997962971624.07405676614394e-072.03702838307197e-07
360.9999997778092824.44381437049157e-072.22190718524579e-07
370.9999998756183862.48763227578129e-071.24381613789064e-07
380.9999999406877011.18624598651388e-075.93122993256941e-08
390.9999999729302685.41394633139782e-082.70697316569891e-08
400.9999999827712853.44574304738403e-081.72287152369202e-08
410.9999999765743014.68513985433026e-082.34256992716513e-08
420.9999999680502276.38995462257025e-083.19497731128512e-08
430.999999974594395.08112202156747e-082.54056101078374e-08
440.9999999786574814.26850388239391e-082.13425194119696e-08
450.999999985334682.93306402011936e-081.46653201005968e-08
460.9999999834684853.30630297252799e-081.65315148626399e-08
470.9999999845687963.08624075299076e-081.54312037649538e-08
480.9999999946981271.06037468828568e-085.30187344142838e-09
490.9999999947053571.05892851920244e-085.29464259601218e-09
500.9999999979299954.14001031300951e-092.07000515650475e-09
510.9999999994797391.04052201540101e-095.20261007700507e-10
520.9999999997911384.17723968710117e-102.08861984355058e-10
530.9999999998029893.94022121404024e-101.97011060702012e-10
540.9999999996352397.29522587276708e-103.64761293638354e-10
550.9999999994740561.05188791145704e-095.2594395572852e-10
560.9999999993908181.2183633201372e-096.09181660068599e-10
570.9999999993577971.28440605085613e-096.42203025428064e-10
580.9999999995446519.10697089917405e-104.55348544958703e-10
590.9999999996742916.51418720367415e-103.25709360183708e-10
600.9999999994372131.12557420651298e-095.6278710325649e-10
610.9999999994650481.06990297645197e-095.34951488225985e-10
620.9999999993372781.32544371378845e-096.62721856894225e-10
630.9999999993504661.29906721647963e-096.49533608239815e-10
640.9999999994819421.03611541886e-095.18057709430002e-10
650.9999999994271231.14575325767769e-095.72876628838843e-10
660.9999999991917311.61653727233449e-098.08268636167243e-10
670.9999999993159721.36805686214191e-096.84028431070954e-10
680.9999999997261415.47718084242261e-102.7385904212113e-10
690.9999999997799134.40173683679739e-102.2008684183987e-10
700.9999999996257947.48412984508031e-103.74206492254016e-10
710.999999999572168.55680332769499e-104.2784016638475e-10
720.999999999712935.74140650317268e-102.87070325158634e-10
730.9999999998831992.33602995624752e-101.16801497812376e-10
740.999999999810333.7933939257963e-101.89669696289815e-10
750.9999999997565274.86945208113493e-102.43472604056746e-10
760.9999999996637956.72409244973666e-103.36204622486833e-10
770.9999999996107577.78485525124587e-103.89242762562294e-10
780.9999999994412091.11758297661014e-095.58791488305071e-10
790.9999999972257235.54855387429646e-092.77427693714823e-09
800.9999999922177621.55644752520083e-087.78223762600414e-09
810.9999999934286451.31427098228176e-086.5713549114088e-09
820.9999999946431371.07137261482423e-085.35686307412117e-09
830.9999999813115013.73769977621235e-081.86884988810617e-08
840.9999999854093662.91812684919929e-081.45906342459965e-08
850.9999999545610949.08778110594913e-084.54389055297457e-08
860.9999998388484413.22303117310061e-071.6115155865503e-07
870.9999997331540435.3369191366337e-072.66845956831685e-07
880.9999986475065652.70498687054273e-061.35249343527137e-06
890.9999953620457619.27590847846943e-064.63795423923471e-06
900.9998890063651010.0002219872697980130.000110993634899006


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level720.878048780487805NOK
5% type I error level790.963414634146341NOK
10% type I error level810.98780487804878NOK