Somewhere within all of that, sprinkle in a little studying--let's start the second quarter strong! See the bottom of this post for a little extra-credit homework (which is a way to study), due Tuesday!
If you were out today use the answers below to grade your homework--these types of questions will be on BOTH tests (Weds and Thurs):
1.) B 2.) D 3.) E 4.) A 5.) B
6.) slope and y int stay roughly the same, correlation decreases (weaker positive correlation)
7.) slope and y int stay roughly the same, correlation decreases (stronger negative correlation)
8.) Most Lev = C, Least Lev = B, Largest Resid = A, Smallest Resid = C
Here's a breakdown of our upcoming tests:
Wednesday (11/14) = Matching Vocab and AP MC Test!
- Vocab List:
- Explanatory Variable
- Response Variable
- Scatterplot
- Correlation
- Positive Association
- Negative Association
- Lurking Variable
- Actual Value (y)
- Predicted Value (y-hat)
- Least Squares Regression Line (LSRL)
- Slope
- Y Intercept
- Coefficient of Determination (R^2)
- Residual Plot (what is it? what is it used for?)
- Residual (formula)
- Residual (what is it?)
- Residual (what does it look like on a graph?)
- Overestimate
- Underestimate
- Outlier
- Leverage
- Influential Point
- Extrapolatino
- Interpolation
- Re-express data
- Multiple Choice Concepts (these overlap with Thursday's test)
- Interpret slope
- Interpret y-intercept
- Interpret R^2
- Know how a point influences correlation, slope, y-int (like Thursday's HW)
- Use a re-expressed model to predict (like Monday's example/packet)
- Identify points with largest/smallest residual, most/least leverage, highest/lowest x or y-value
- Concepts to know:
- How to read a computer output (write LSRL)
- Find correlation given a computer output
- How to find the LSRL, r, and R^2 with your graphing calculator
- View a scatterplot and a residual plot on your graphing calculator
- Describe an association
- Determine if a linear model is appropriate
- Interpret slope
- Interpret y-intercept
- Interpret R^2
- Use an equation to make predictions
- Calculate the residual for a prediction
- Use residuals and the equation to find an actual value
- Interpret the meaning of a residual
- Describe how a point may influence slope, intercept, and/or correlation and explain why
- Use a re-expressed model to make predictions
- Determine if a prediction would be too large, too small, or accurate given a residual plot
Extra Credit HW: This will ONLY be accepted Tuesday!
- Extra Credit HW = Studying for your tests
- Page 245: 1, 11abcd, 17, 27
- Check your answers in the back of the book! (under Part II Review)
Have an awesome weekend! See you all on Tuesday!
No comments:
Post a Comment