Multiple Linear Regression - Estimated Regression Equation
y[t] = + 86.5179487179487 + 9.44395604395605x[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)86.51794871794872.04543942.29800
x9.443956043956053.4574242.73150.0083390.00417


Multiple Linear Regression - Regression Statistics
Multiple R0.337605647932651
R-squared0.113977573516025
Adjusted R-squared0.0987013247835427
F-TEST (value)7.46109699521133
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.00833929729316496
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation12.7737655181309
Sum Squared Residuals9463.80695970696


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
177.886.5179487179489-8.71794871794886
281.386.5179487179487-5.21794871794872
387.786.51794871794871.18205128205129
478.486.5179487179487-8.11794871794871
576.286.5179487179487-10.3179487179487
685.386.5179487179487-1.21794871794872
769.386.5179487179487-17.2179487179487
866.886.5179487179487-19.7179487179487
977.186.5179487179487-9.41794871794872
1079.486.5179487179487-7.11794871794871
1168.686.5179487179487-17.9179487179487
1270.686.5179487179487-15.9179487179487
1375.686.5179487179487-10.9179487179487
1471.586.5179487179487-15.0179487179487
1592.286.51794871794875.68205128205129
1676.486.5179487179487-10.1179487179487
177586.5179487179487-11.5179487179487
1886.486.5179487179487-0.117948717948708
1966.986.5179487179487-19.6179487179487
207686.5179487179487-10.5179487179487
2180.486.5179487179487-6.11794871794871
22106.286.517948717948719.6820512820513
2383.986.5179487179487-2.61794871794871
2499.586.517948717948712.9820512820513
25100.186.517948717948713.5820512820513
269786.517948717948710.4820512820513
27112.786.517948717948726.1820512820513
2889.186.51794871794872.58205128205128
2999.186.517948717948712.5820512820513
3089.286.51794871794872.68205128205129
3171.786.5179487179487-14.8179487179487
328086.5179487179487-6.51794871794871
3390.586.51794871794873.98205128205129
34100.886.517948717948714.2820512820513
35102.786.517948717948716.1820512820513
3687.786.51794871794871.18205128205129
37109.186.517948717948722.5820512820513
38113.586.517948717948726.9820512820513
39122.586.517948717948735.9820512820513
4089.395.9619047619048-6.66190476190476
41107.895.961904761904811.8380952380952
429495.9619047619048-1.96190476190476
438395.9619047619048-12.9619047619048
4492.495.9619047619048-3.56190476190476
4594.195.9619047619048-1.86190476190477
4697.895.96190476190481.83809523809524
47101.795.96190476190485.73809523809524
4873.495.9619047619048-22.5619047619048
4998.995.96190476190482.93809523809524
5095.995.9619047619048-0.0619047619047556
5110895.961904761904812.0380952380952
5298.595.96190476190482.53809523809524
5397.695.96190476190481.63809523809523
5497.395.96190476190481.33809523809524
5586.595.9619047619048-9.46190476190476
5696.895.96190476190480.838095238095236
57106.795.961904761904810.7380952380952
58112.695.961904761904816.6380952380952
5996.195.96190476190480.138095238095233
6086.895.9619047619048-9.16190476190476