Multiple Linear Regression - Estimated Regression Equation
Iprod[t] = + 480.35014392631 -18.6911341393208werkl[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)480.3501439263162.4342647.693700
werkl-18.69113413932087.619376-2.45310.017190.008595


Multiple Linear Regression - Regression Statistics
Multiple R0.306595751824479
R-squared0.0940009550368178
Adjusted R-squared0.0783802818477976
F-TEST (value)6.0177275268066
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.0171902079089168
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28.4030054508137
Sum Squared Residuals46790.3816810592


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1359328.95195739781430.0480426021856
2304.6325.213730569948-20.6137305699481
3297.7327.08284398388-29.3828439838802
4303.3328.951957397812-25.6519573978123
5304.7336.428411053541-31.7284110535406
6331.3338.297524467473-6.99752446747267
7318.8336.428411053541-17.6284110535406
8306.8327.08284398388-20.2828439838802
9331.1323.3446171560167.75538284398396
10284.1323.344617156016-39.244617156016
11259.7319.606390328152-59.9063903281519
12335.8323.34461715601612.4553828439840
13338.5321.47550374208417.024496257916
14310.3317.73727691422-7.43727691421984
15322.1317.737276914224.36272308578017
16289.3319.606390328152-30.3063903281519
17300.8342.035751295337-41.2357512953368
18360.6343.90486470926916.6951352907311
19327.3342.035751295337-14.7357512953368
20304.1312.129936672424-8.02993667242359
21362308.39170984455953.6082901554405
22287.8308.391709844559-20.5917098445595
23286.1321.475503742084-35.375503742084
24358.2325.21373056994832.9862694300519
25346325.21373056994820.7862694300519
26329.9319.60639032815210.2936096718481
27334.3319.60639032815214.6936096718481
28303.7321.475503742084-17.775503742084
29307.6328.951957397812-21.3519573978123
30351.7328.95195739781222.7480426021877
31324.6330.821070811744-6.22107081174435
32311.9319.606390328152-7.70639032815195
33361.5317.7372769142243.7627230857802
34271.1317.73727691422-46.6372769142198
35286.5319.606390328152-33.1063903281519
36352.8323.34461715601629.4553828439839
37322.4323.344617156016-0.944617156016084
38335317.7372769142217.2627230857801
39322.2317.737276914224.46272308578014
40313.6321.475503742084-7.87550374208397
41323.3325.213730569948-1.91373056994812
42379.1325.21373056994853.8862694300519
43315.6325.213730569948-9.6137305699481
44353.6328.95195739781224.6480426021877
45371.7327.0828439838844.6171560161198
46282.9328.951957397812-46.0519573978123
47298.8328.951957397812-30.1519573978123
48361.8332.69018422567629.1098157743236
49365.9336.42841105354129.4715889464594
50357.6328.95195739781228.6480426021877
51335.4330.8210708117444.57892918825560
52340.1336.4284110535413.67158894645942
53337.8334.5592976396093.24070236039148
54389.6338.29752446747351.3024755325273
55342.5342.0357512953370.464248704663175
56354.6336.42841105354118.1715889464594
57391.6334.55929763960957.0407023603915
58317.7340.166637881405-22.4666378814048
59312.8345.773978123201-32.973978123201
60356.2349.5122049510656.68779504893485