Multiple Linear Regression - Estimated Regression Equation
y[t] = + 1.96779661016949 + 0.932203389830508x[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.967796610169490.07091527.748800
x0.9322033898305080.5493021.69710.0950440.047522


Multiple Linear Regression - Regression Statistics
Multiple R0.217501426841003
R-squared0.0473068706778723
Adjusted R-squared0.0308811270688701
F-TEST (value)2.88004438666299
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.0950442637767794
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.544705133129179
Sum Squared Residuals17.2088135593220


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.31.96779661016949-0.667796610169493
21.21.96779661016949-0.767796610169491
31.61.96779661016949-0.367796610169491
41.71.96779661016949-0.267796610169491
51.51.96779661016949-0.467796610169491
60.91.96779661016949-1.06779661016949
71.51.96779661016949-0.467796610169491
81.41.96779661016949-0.567796610169491
91.61.96779661016949-0.367796610169491
101.71.96779661016949-0.267796610169491
111.41.96779661016949-0.567796610169491
121.81.96779661016949-0.167796610169491
131.71.96779661016949-0.267796610169491
141.41.96779661016949-0.567796610169491
151.21.96779661016949-0.767796610169492
1611.96779661016949-0.967796610169491
171.71.96779661016949-0.267796610169491
182.41.967796610169490.432203389830508
1921.967796610169490.0322033898305086
202.11.967796610169490.132203389830509
2121.967796610169490.0322033898305086
221.81.96779661016949-0.167796610169491
232.71.967796610169490.732203389830509
242.31.967796610169490.332203389830508
251.91.96779661016949-0.0677966101694915
2621.967796610169490.0322033898305086
272.31.967796610169490.332203389830508
282.81.967796610169490.832203389830508
292.41.967796610169490.432203389830508
302.31.967796610169490.332203389830508
312.71.967796610169490.732203389830509
322.71.967796610169490.732203389830509
332.91.967796610169490.932203389830509
3431.967796610169491.03220338983051
352.21.967796610169490.232203389830509
362.31.967796610169490.332203389830508
372.81.967796610169490.832203389830508
382.81.967796610169490.832203389830508
392.81.967796610169490.832203389830508
402.21.967796610169490.232203389830509
412.61.967796610169490.632203389830509
422.81.967796610169490.832203389830508
432.51.967796610169490.532203389830509
442.41.967796610169490.432203389830508
452.31.967796610169490.332203389830508
461.91.96779661016949-0.0677966101694915
471.71.96779661016949-0.267796610169491
4821.967796610169490.0322033898305086
492.11.967796610169490.132203389830509
501.71.96779661016949-0.267796610169491
511.81.96779661016949-0.167796610169491
521.81.96779661016949-0.167796610169491
531.81.96779661016949-0.167796610169491
541.31.96779661016949-0.667796610169491
551.31.96779661016949-0.667796610169491
561.31.96779661016949-0.667796610169491
571.21.96779661016949-0.767796610169492
581.41.96779661016949-0.567796610169491
592.21.967796610169490.232203389830509
602.92.9-6.50521303491303e-17