**Monday/Tuesday**

In class

Finishing this summary assessment:

Regression Analysis:

Part 1

Choose two quantitative variables that you think may be associated. You can collect some data yourself or find lists on the Internet.

Before you conduct any analysis, What association ( Shape, Strength, Direction) do you expect to see between the two variables? Which variable is the explanatory variable and which variable is the response variable?

Part 2

I’ll be looking to see if the following is present and correct.

- Table of Your two quantitative variables.
- Well labeled scatterplot (Axes with units)
- Correlation coefficient (r)
- Coefficient of Determination (r
^{2}) expressed either as a proportion/percentage and you explain what it means in the context of this situation. - Least Square Regression Equation for predicting your Response Variable from your Explanatory Variable.
- An analysis of your results. You must relate your results back to part 1. This must include a discussion about r and r
^{2} - You use your model to make a prediction for two values that are not part of the original data. One of these values must be an example of extrapolation. Identify this prediction.
- Discuss what the slope and y-intercept of your model means in the context of the situation.
- You suggest possible sources of confounding influences.

You can attach a publicly share link to a google doc/sheet.

Learning Target:* I can find empirical and theoretical probabilities.*

We’ll watch this <link>

*We’ll collect some data and find **probabilities*

*Once we are done with the data collection, Submit your results <link>*