1.) Please complete questions 3, 4, 5, and 6 on the worksheet provided in class (or below). For question 4, you just have to comment on the residual plot to decide if a linear model is appropriate, as no other information is given.
2.) STUDY YOUR VOCAB! Here's the list:
- Residual
- three definitions: actual - predicted, measures how far off a prediction is from our actual value (error), or the vertical distance between a point and the LSRL
- Slope
- Y-Intercept
- R^2 (Coefficient of Determination)
- r (Correlation)
- This is from our chapter 7 vocab quiz--use it to study!
- Predicted Value
- A value that comes from the LSRL, either looking at a graph or substituting into the LSRL equation!
- Overestimate
- Underestimate
- Linear Model
- An equation used to make predictions for a response (y) variable based on values of the explanatory (x) variable
- Response Variable
- Explanatory Variable
- Conditions: is a linear model appropriate?
- Check a scatterplot is roughly linear with no outliers, residual plot has no pattern, and two quantitative varibles
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