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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Analysis of Variance (ANOVA)
8 min
ISA 225 – Exam 2 Cram Kit (Leonard)
Analysis of Variance (ANOVA)
Module Content
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Degrees of freedom (regression)
0:57
Sum of Squares Error (SSE)
1:22
Sum of Squares Regression (SSR)
1:33
Sum of Squares Total (SST)
1:23
Mean Square Error (MSE)
1:24
F Ratio
1:18
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