REGRESSION OUTPUT INTERPRETER
Enter your regression output values (Blue = Input)
Variable Coefficient Std. Error t-statistic p-value
Intercept (β₀) 2.5 0.8 3.125 #NAME?
X1 (β1) 1.5 0.5 3.000 #NAME?
X2 (β2)
X3 (β3)
X4 (β4)
X5 (β5)
MODEL STATISTICS INTERPRETATION
R² (R-squared): 0.65 Model explains: 65.0% of variation in Y
Adjusted R²: 0.62 Model significance: Model is significant ✓
F-statistic: 15.3
Prob(F-stat): 0.0001 Degrees of freedom: 98
Observations (n): 100
Number of regressors ( 1
CRITICAL VALUES REFERENCE
Significance t-critical (two-sidedDecision Rule
10% 1.645 |t| > 1.645
5% 1.96 |t| > 1.96
1% 2.576 |t| > 2.576
, Significant?
#NAME?
#NAME?
variation in Y
significant ✓
Enter your regression output values (Blue = Input)
Variable Coefficient Std. Error t-statistic p-value
Intercept (β₀) 2.5 0.8 3.125 #NAME?
X1 (β1) 1.5 0.5 3.000 #NAME?
X2 (β2)
X3 (β3)
X4 (β4)
X5 (β5)
MODEL STATISTICS INTERPRETATION
R² (R-squared): 0.65 Model explains: 65.0% of variation in Y
Adjusted R²: 0.62 Model significance: Model is significant ✓
F-statistic: 15.3
Prob(F-stat): 0.0001 Degrees of freedom: 98
Observations (n): 100
Number of regressors ( 1
CRITICAL VALUES REFERENCE
Significance t-critical (two-sidedDecision Rule
10% 1.645 |t| > 1.645
5% 1.96 |t| > 1.96
1% 2.576 |t| > 2.576
, Significant?
#NAME?
#NAME?
variation in Y
significant ✓
