'Predict values' diaporamas de présentation

The Mean Regression or Regression to the Mean

The Mean Regression or Regression to the Mean. Rama C. Nair Professor Epidemiology and Community Medicine. Outline. Why Data Analysis? Qualitative and quantitative data Role of Statistics Quantitative information Variability in data Bias and Random error Population vs sample

646 views • 36 slides

Chap 7. The Error for Regression

Chap 7. The Error for Regression. Difference between Actual and Predict values Computing RMSE Using the Correlation. The Residual Plot The Vertical Strips Approximating to the Normal Curve Inside a Vertical Strip. 1. 2. 3. 4. 5. Computing RMSE Using the Correlation. The Residual Plot.

348 views • 24 slides

Amarillo by Morning: Data Visualization in Geostatistics

375 views • 15 slides

Data Mining

Data Mining. Database Systems Timothy Vu. Mining.

241 views • 14 slides

Scatter-graphs

Scatter-graphs. How to produce , describe and interpret a scatter-graph - Correlation - Line of Best Fit. As one goes up. The other goes up. Positive correlation. As one goes up. The other goes down. Negative correlation. No correlation. Perfect positive correlation.

129 views • 12 slides

Correlation and Regression Analysis

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Chapter 14

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Correlation Coefficient and Line of Best Fit

Correlation Coefficient and Line of Best Fit. Correlation Coefficient r. n - 1. r. if the slope is + or - Strength: between -1 and 1 Absolute value reflects strength Ex: -0.7 and 0.7 have the same strength. Notation: r xy Ex: if looking at SAT and GPA write: r SAT -GPA. r = 1.

272 views • 11 slides

Discriminant Analysis

Discriminant Analysis . Similar to Regression, except that criterion (or dependent variable) is categorical rather than continuous. -used to identify boundaries between groups of objects. For example: (a) does a person have the disease or not (b) Is someone a good credit risk or not?

837 views • 10 slides