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Here's an outline of the content on the math quiz:
- Identify explanatory and response variables
- Create/sketch scatterplot using graphing calc.
- Find the correlation using graphing calc.
- Describe an association (like Thursday's homework)
- Write the equation of the LSRL (least squares regression line) using calc
- Use the equation to make a prediction
- Identify mistakes made in statements about correlation (must have 2 quantitative variables, correlation is between -1 and 1, no units on correlation, know what a strong/weak correlation looks like)
- Identify a possible lurking variable
And here's the chapter 7 vocab list:
- Scatterplot
- Explanatory Variable
- Response Variable
- Lurking Variable
- Correlation
- Positive Association (as x increases, y increases)
- Negative Association (as x increases, y decreases)
- y-hat (represents a predicted value)
Finally, here are the answers to Thursday night's homework so you can check yours and use these to study--remember, this is definitely on our quiz tomorrow!
- Precipitation v. Cucumber Yield
- The association between the amount of precipitation (mm) and cucumber yield (kg per square meter) is pretty strong, roughly linear, and positive. Based on this scatter plot, as the amount of precipitation increases, the predicted cucumber yield increases.
- Missed Classes and Exam Score
- The association between the number of missed classes and exam score is moderately strong, negative, and roughly linear with r = -0.79. Based on this data, as a student misses more classes, his/her predicted exam score decreases. (Or, based on this data, as the number of missed classes increases the predicted exam score decreases).
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