Multiple Linear Regression - Estimated Regression Equation
y[t] = + 1.96610169491525 + 1.03389830508475x[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.966101694915250.07050827.884700
x1.033898305084750.5461551.8930.0633440.031672


Multiple Linear Regression - Regression Statistics
Multiple R0.241228855223658
R-squared0.0581913605925166
Adjusted R-squared0.0419532806027325
F-TEST (value)3.58363554244876
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.063344176187855
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.541584574696143
Sum Squared Residuals17.0122033898305


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.31.96610169491526-0.666101694915256
21.21.96610169491525-0.766101694915254
31.61.96610169491525-0.366101694915254
41.71.96610169491525-0.266101694915254
51.51.96610169491525-0.466101694915254
60.91.96610169491525-1.06610169491525
71.51.96610169491525-0.466101694915254
81.41.96610169491525-0.566101694915254
91.61.96610169491525-0.366101694915254
101.71.96610169491525-0.266101694915254
111.41.96610169491525-0.566101694915254
121.81.96610169491525-0.166101694915254
131.71.96610169491525-0.266101694915254
141.41.96610169491525-0.566101694915254
151.21.96610169491525-0.766101694915254
1611.96610169491525-0.966101694915254
171.71.96610169491525-0.266101694915254
182.41.966101694915250.433898305084746
1921.966101694915250.0338983050847458
202.11.966101694915250.133898305084746
2121.966101694915250.0338983050847458
221.81.96610169491525-0.166101694915254
232.71.966101694915250.733898305084746
242.31.966101694915250.333898305084746
251.91.96610169491525-0.0661016949152543
2621.966101694915250.0338983050847458
272.31.966101694915250.333898305084746
282.81.966101694915250.833898305084746
292.41.966101694915250.433898305084746
302.31.966101694915250.333898305084746
312.71.966101694915250.733898305084746
322.71.966101694915250.733898305084746
332.91.966101694915250.933898305084746
3433-3.01475966586751e-17
352.21.966101694915250.233898305084746
362.31.966101694915250.333898305084746
372.81.966101694915250.833898305084746
382.81.966101694915250.833898305084746
392.81.966101694915250.833898305084746
402.21.966101694915250.233898305084746
412.61.966101694915250.633898305084746
422.81.966101694915250.833898305084746
432.51.966101694915250.533898305084746
442.41.966101694915250.433898305084746
452.31.966101694915250.333898305084746
461.91.96610169491525-0.0661016949152543
471.71.96610169491525-0.266101694915254
4821.966101694915250.0338983050847458
492.11.966101694915250.133898305084746
501.71.96610169491525-0.266101694915254
511.81.96610169491525-0.166101694915254
521.81.96610169491525-0.166101694915254
531.81.96610169491525-0.166101694915254
541.31.96610169491525-0.666101694915254
551.31.96610169491525-0.666101694915254
561.31.96610169491525-0.666101694915254
571.21.96610169491525-0.766101694915254
581.41.96610169491525-0.566101694915254
592.21.966101694915250.233898305084746
602.91.966101694915250.933898305084746