Multiple Linear Regression - Estimated Regression Equation
y[t] = + 525.754197271773 + 73.3752360965372x[t] -11.2732457930125M1[t] -30.7960252224943M2[t] -30.4299157630873M3[t] -36.1054992032956M4[t] -41.9616119661109M5[t] -52.595502506704M6[t] -60.3405041584082M7[t] -68.8632835878901M8[t] -70.0527296840387M9[t] -16.908842446854M10[t] + 5.93944609614861M11[t] + 0.189446096148616t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)525.75419727177310.65391249.348500
x73.37523609653729.6935187.569500
M1-11.273245793012512.441403-0.90610.3672460.183623
M2-30.796025222494312.436965-2.47620.0151090.007554
M3-30.429915763087312.434466-2.44720.0162950.008147
M4-36.105499203295612.468438-2.89580.0047250.002363
M5-41.961611966110912.458389-3.36810.0011070.000553
M6-52.59550250670412.45027-4.22445.6e-052.8e-05
M7-60.340504158408212.444087-4.84895e-063e-06
M8-68.863283587890112.439841-5.535700
M9-70.052729684038712.437535-5.632400
M10-16.90884244685412.437169-1.35950.1772980.088649
M115.9394460961486112.7934260.46430.643560.32178
t0.1894460961486160.1553751.21930.2258530.112926


Multiple Linear Regression - Regression Statistics
Multiple R0.889690607068077
R-squared0.791549376305164
Adjusted R-squared0.762094396870024
F-TEST (value)26.8731939890898
F-TEST (DF numerator)13
F-TEST (DF denominator)92
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation25.5849656968537
Sum Squared Residuals60222.3232132447


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1540514.67039757491125.3296024250892
2522495.33706424157626.6629357584237
3526495.89261979713230.1073802028682
4527490.40648245307236.5935175469279
5516484.73981578640531.2601842135945
6503474.29537134196128.7046286580390
7489466.73981578640522.2601842135946
8479458.40648245307220.5935175469279
9475457.40648245307217.5935175469279
10524510.73981578640513.2601842135945
11552533.77755042555718.2224495744433
12532528.0275504255573.97244957444331
13511516.943750728693-5.94375072869284
14492497.61041739536-5.61041739535965
15492498.165972950915-6.16597295091521
16493492.6798356068560.320164393144487
17481487.013168940189-6.01316894018885
18462476.568724495744-14.5687244957444
19457469.013168940189-12.0131689401889
20442460.679835606856-18.6798356068555
21439459.679835606856-20.6798356068555
22488513.013168940189-25.0131689401889
23521536.05090357934-15.0509035793401
24501530.30090357934-29.3009035793401
25485519.217103882476-34.2171038824762
26464499.883770549143-35.8837705491431
27460500.439326104699-40.4393261046986
28467494.953188760639-27.9531887606389
29460489.286522093972-29.2865220939723
30448478.842077649528-30.8420776495278
31443471.286522093972-28.2865220939723
32436462.953188760639-26.9531887606389
33431461.953188760639-30.9531887606389
34484515.286522093972-31.2865220939722
35510538.324256733123-28.3242567331235
36513532.574256733123-19.5742567331235
37503521.49045703626-18.4904570362596
38471502.157123702926-31.1571237029264
39471502.712679258482-31.712679258482
40476497.226541914422-21.2265419144223
41475491.559875247756-16.5598752477556
42470481.115430803311-11.1154308033112
43461473.559875247756-12.5598752477556
44455465.226541914422-10.2265419144223
45456464.226541914422-8.22654191442231
46517517.559875247756-0.559875247755636
47525540.597609886907-15.5976098869069
48523534.847609886907-11.8476098869069
49519523.763810190043-4.76381019004302
50509504.430476856714.56952314329018
51512504.9860324122657.01396758773461
52519499.49989506820619.5001049317943
53517493.83322840153923.1667715984610
54510483.38878395709526.6112160429054
55509475.83322840153933.166771598461
56501467.49989506820633.5001049317943
57507466.49989506820640.5001049317943
58569519.83322840153949.166771598461
59580542.8709630406937.1290369593098
60578537.1209630406940.8790369593098
61565526.03716334382638.9628366561736
62547506.70383001049340.2961699895068
63555507.25938556604947.7406144339512
64562575.148484318526-13.1484843185263
65561569.48181765186-8.4818176518596
66555559.037373207415-4.03737320741516
67544551.48181765186-7.48181765185962
68537543.148484318526-6.14848431852629
69543542.1484843185260.851515681473718
70594595.48181765186-1.48181765185961
71611618.519552291011-7.51955229101084
72613612.7695522910110.230447708989156
73611601.6857525941479.31424740585302
74594582.35241926081411.6475807391862
75595582.90797481636912.0920251836306
76591577.4218374723113.5781625276903
77589571.75517080564317.244829194357
78584561.31072636119922.6892736388014
79573553.75517080564319.244829194357
80567545.4218374723121.5781625276903
81569544.4218374723124.5781625276903
82621597.75517080564323.244829194357
83629620.7929054447948.20709455520577
84628615.04290544479412.9570945552058
85612603.959105747938.04089425206963
86595584.62577241459710.3742275854028
87597585.18132797015311.8186720298473
88593579.69519062609313.3048093739069
89590574.02852395942615.9714760405736
90580563.58407951498216.4159204850181
91574556.02852395942617.9714760405736
92573547.69519062609325.3048093739069
93573546.69519062609326.3048093739069
94620600.02852395942619.9714760405736
95626623.0662585985782.93374140142238
96620617.3162585985782.68374140142237
97588606.232458901714-18.2324589017138
98566586.89912556838-20.8991255683806
99557587.454681123936-30.4546811239361
100561581.968543779876-20.9685437798764
101549576.30187711321-27.3018771132098
102532565.857432668765-33.8574326687653
103526558.30187711321-32.3018771132098
104511549.968543779876-38.9685437798764
105499548.968543779876-49.9685437798764
106555602.30187711321-47.3018771132098