- Stamp = more calculator and residual stuff
- Back to chapter 8 notes...
- Notes: What does best fit mean? Why is it called the "least squares regression line?" (LSRL)
- Notes: How do we determine if a linear model is appropriate? (Conditions)
- Scatterplot is roughly linear (and no outliers)
- Both variables are quantitative
- The residual plot has no pattern
- Used the slide with 4 residual plots on it to determine if they suggest whether a linear model is appropriate or not
- Notes: How can we create a residual plot on our graphing calculator? (based on the acres burned v. timber sales context from our slides)
- Review: Check out the "AP Stat Guy" videos for help interpreting slope and y intercept!
- AP Stats Guy: Interpreting Slope and Y Intercept (Click me!)
- AP Stats Guy: Residuals (Click me!)
- Absent? Check out the AP Stats Guy video on R^2! (Click me, I'm a link!)
- Want more? Use the AP Stats Guy link on the right and check out his Unit 2 videos!
- Or, use the Crash Course, Yay Math, or Khan links to review!
Weekend HW:
Problems found on pages 190 - 193:
- 15 (is a linear model appropriate and interpret R^2)
- 19 (write equation, predict, interpret slope, interpret intercept, use residual)
- 35bcdefg (interpret R^2, find LSRL equation, is a linear model appropriate and create residual plot, interpret slope and y intercept, use residual)
- Is a linear model appropriate? Writing help....
- If a linear model IS appropriate, you must explain why referencing all 3 conditions....
- "A linear model for is appropriate because the scatterplot is roughly linear, both ____ and ___ are quantiatitve variables, and the residual plot does not show a pattern."
- Be sure to specify that the SCATTERPLOT is roughly linear and the RESIDUAL PLOT does not have a pattern--this is critical to your response.
- If a linear model IS NOT appropriate, then you only need to reference the condition that fails (or makes it not approrpiate):
- "A linear model for ____(context)_____ is not appropriate because......."
- Again, be sure to name the graph your referencing, either the scatterplot or the residual plot
STAMPS ARE DUE WEDNESDAY!
- Gather all your stamps--you can leave them on the full paper, or rip off the little stamp, whatever is easier
- You will get all of these back, so if you have notes on a paper with a stamp, don't worry, you'll get it back
- Count all your stamps--double check!
- I will choose 5 random names from each class and double check those students' stamps; if your total is incorrect, you will earn a score of 0
- Fasten all your stamps--put them in a ziploc bag, put them in an envelope, staple them all together, or maybe glue/tape all the cut out stamps to one paper--whatever works best for you
- Write your name and the total on the front of your stamps
- Turn this in by Wednesday!
- Stamps count as a classwork grade!
- For each class I will find Q3 and use this to determine how many points the stamp grade is out of, so I can't tell you how many you need....
- It doesn't really matter how many you need anyway, you just have to turn in all your stamps!
Quiz Tuesday!
- On Monday we'll practice all this; Tuesday we'll start class with a (short) quiz, all writing--it's the same questions as the homework we had Wednesday (key below), so use this to study!
- Quiz = Given a computer output....
- Interpret slope
- Interpret y intercept
- Describe strength and direction based on r
- Interpret R^2
- You won't be given the data, you'll be given a computer output, so be sure you know how to read one of those and find each of the values above!
No comments:
Post a Comment