Day 13

Today will continue to talk about best fit lines and learn the least squares regression equation.

The opener will again be practicing finding x and f(x), but in the context of a best fit line.

Our lesson will continue with the air travel situation but in a Part 2 of the Air Travel Activity Builder. We'll now focus on a "best" fit line over a "hey, it looks good" fit line, and talk about what the correlation coefficient means. I really think the idea behind this one is sound, but I think the execution of it still needs a lot of work. Suggestions appreciated.

For homework they will complete a linear regression application problem. I think this one is pretty good, but it may be a case of me really liking it and the students not so much. We'll see.

Day 12

Today we'll start talking about informal lines of best fit (soon to lead to correlation regression, and causation).

We'll start with an opener that practices solving an equation using function notation.

We'll then work two through Activity Builders, Line of Best Fit and then Air Travel (based on Dan Meyer's post from what seems a long time ago).

For homework I'll have them complete a short reading assignment (as well as look at some spurious correlations), then write a short summary of a second article (their choice).