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Regression Statistics
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Regression Statistics Calculator
Comprehensive regression analysis and hypothesis testing
X Values (Independent Variable)
1, 2, 3, 4, 5
Enter values separated by commas
Y Values (Dependent Variable)
2, 4, 6, 8, 10
Enter values separated by commas
Calculate Statistics
Model Summary
1.000
R²
1.000
Adjusted R²
0.000
Std. Error
∞
F-Statistic
0.000
F p-value
5
Sample Size
ANOVA Table
Source
Sum of Squares
df
Mean Square
F
p-value
Regression
40.000
1
40.000
∞
0.000
Residual
0.000
3
0.000
-
-
Total
40.000
4
-
-
-
Coefficients
Term
Coefficient
Std. Error
t-Statistic
p-value
95% CI Lower
95% CI Upper
Significance
Intercept
0.000
0.000
∞
0.000
0.000
0.000
***
X
2.000
0.000
∞
0.000
2.000
2.000
***
Significance codes:
***
p < 0.001
**
p < 0.01
*
p < 0.05
ns
p ≥ 0.05
Statistics Interpretation
Key Statistics
•
R²:
Proportion of variance explained
•
Adjusted R²:
R² adjusted for degrees of freedom
•
F-test:
Overall model significance
•
t-test:
Individual coefficient significance
Interpretation Guide
• Higher R² = better model fit
• p < 0.05 = statistically significant
• Confidence intervals show precision
• F-test tests overall model validity