ISA 225 – Exam 2 Cram Kit (Leonard)
Scatterplots
3 Concepts
Correlation (r)
Residuals
Line of Best Fit
Simple Linear Regression
5 Concepts
What is simple linear regression?
Y-intercept
Coefficients
Assumptions for Linear Regression
Extrapolation
Analysis of Variance (ANOVA)
6 Concepts
Degrees of freedom (regression)
Sum of Squares Error (SSE)
Sum of Squares Regression (SSR)
Sum of Squares Total (SST)
Mean Square Error (MSE)
F Ratio
Summary of Fit
3 Concepts
R-squared (Coefficient of Determination)
Adjusted R-squared
Root Mean Square Error (RMSE)
Parameter Estimates
1 Concept
t ratios
Multiple LInear Regression (Leonard)
2 Concepts
What is multiple linear regression?
How to compare models
Confidence Intervals (Part 2)
3 Concepts
Why use confidence intervals with linear regression?
Confidence intervals with coefficient
Confidence intervals with predicted mean response
Prediction Intervals
2 Concepts
Prediction vs. confidence
Prediction interval with individual observation
Hypothesis Tests (Part 2)
2 Concepts
Hypothesis test with coefficient
Hypothesis test with entire model
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Summary of Fit
7 min
ISA 225 – Exam 2 Cram Kit (Leonard)
Summary of Fit
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R-squared (Coefficient of Determination)
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Adjusted R-squared
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Root Mean Square Error (RMSE)
1:20
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