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Tuesday, October 30, 2018

Two's Day HW

Tonight, please complete the following:

1.) Count up your stamps and have them ready to turn in at the start of class tomorrow (instructions below).

2.) STUDY! Tomorrow = chapter 8 vocab quiz (list below)


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
    • If you count your stamps in class you will be given a zero--this is your responsibility OUTSIDE the classroom
  • 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!

Chapter 8 Vocab Quiz Wednesday!

  • Residual (what does it measure? how is it calculated? how is it represented visually on a scaterplot?)
  • Actual Value (y): based on given data or the point in a scatterplot
  • Predicted Value (y-hat): generated by substituting into the LSRL equation or looking at the line of best fit
  • Interpret Slope
  • Interpret Y Intercept
  • Coefficient of Determination = R^2
  • Interpret R^2
  • Correlation
  • Underestimate (connect to residuals)
  • Overestimate (connect to residuals)
  • Linear Model
  • Least Squares Regression Line (LSRL)
  • "Is a linear model appropriate?" (what do we check?)
  • Explanatory Variable
  • Response Variable
  • Scatter plot
  • Lurking Variable

Today's Class Recap:

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