1 / 22

Warm-Up

Warm-Up. What is the probability that a randomly selected person is a woman who likes P.E.? . 2. Given that you select a man, what is the probability that he likes Social S tudies?. Week 2-EOCT #2 . Residuals.

mendel
Download Presentation

Warm-Up

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Warm-Up What is the probability that a randomly selected person is a woman who likes P.E.? . 2. Given that you select a man, what is the probability that he likes Social Studies?

  2. Week 2-EOCT #2

  3. Residuals To find the residual you take the ACTUAL data and SUBTRACT the PREDICTED data.

  4. Analyzing Residuals • Determines the effectiveness of the regression model

  5. Residual Plots A residual plot is another type of SCATTERPLOT that shows the relationship of the residual to the x value.

  6. Residual Plots Determine • If it the regression model is appropriate, then the residual plot will have a RANDOMscatter. • If the residual plot creates a pattern then the regression model is NOT A GOOD FIT. Pattern = Problem

  7. Example of Random Scatter

  8. Examples Determine, just by visual inspection, if the linear model is appropriate or inappropriate.

  9. Linear model appropriate or inappropriate?

  10. The only way to know is to see the residual plot. 1. Does their appear to be a pattern in the residual plot? Yes, quadratic. 2. Does this support your original guess? You must now see that a linear model does NOT fit this data.

  11. Linear model appropriate or inappropriate?

  12. The only way to know is to see the residual plot. 1. Does their appear to be a pattern in the residual plot? Yes, it fans out as x increases. 2. Does this support your original guess? You must now see that a linear model does NOT fit this data.

  13. Linear model appropriate or inappropriate?

  14. The only way to know is to see the residual plot. 1. Does their appear to be a pattern in the residual plot? Yes, it looks quadratic. 2. Does this support your original guess? This was very tricky. The scale was very small. You must now see that a linear model does NOT fit this data.

  15. Linear model appropriate or inappropriate?

  16. The only way to know is to see the residual plot. 1. Does their appear to be a pattern in the residual plot? Yes, it seems decrease as x increases. 2. Does this support your original guess? This was tricky. You must now see that a linear model does NOT fit this data.

  17. Example: Calculate Residual

  18. Example: Calculate Residual

  19. Example: Calculate Residual

  20. Good fit or not? Residual Total Time

  21. Good fit or not? Residual Total Time

  22. Classwork Finish for Homework

More Related