- Looked at Stat-wide test data (for our Unit 1 test), briefly discussed the Unit 1 test
- Completed our notes on chapter 7: discussed correlation and how we can determine if "a linear model (and correlation) is appropriate to use."
- Complete some practice questions (below) in preparation for our quiz--contact a classmate for the answers!
Tomorrow = Math and Vocab Quiz! Start studying!
- Tonight you should complete the practice quiz provided in class (or below)
- The questions in red are added/not on the worksheet
- And here is an answer key so you can check your work:
- Here is your chapter 7 vocab list WITH DEFINITIONS for the vocab portion of the quiz:
- Scatterplot: a graphical display that shows the association between two quantitative variable
- Explanatory Variable: the independent variable (on the x-axis)
- Response Variable: the dependent variable (on the y-axis)
- Lurking Variable: a variable related to the explanatory variable and to the response variable that leads to an apparent association between the explanatory and response
- Describe an association (what do we describe?): describe shape/form, direction, strength, reference r (if possible), and a "generally" statement
- Conditions for Correlation = Is a linear model appropriate? (what do we check): scatterplot is roughly linear with no outliers, residual plot has no pattern, and the two variables are quantitative
- Outlier: a point that falls outside the general pattern in a scatterplot
- y-hat: predicted value, generated from the equation of the LSRL
- Correlation: a measure of the strength and direction of the linear association between two variables
- Positive Association: as the explanatory variable increases, the response variable also increases
- Negative Association: as the explanatory variable increases, the response variable decreases
- Finally, here are the examples we used in class in case you were out:
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