More with linear and exponential models today, specifically with *interpreting* what the parameters (slope, y-intercept, growth rate) mean in the context of the scenario they model.

The big takeaway is this: for both linear and exponential models, the *y*-intercept is the **starting point** or **initial value**. For a linear function, the slope is the **unit rate of change** – the change in whatever *y* measures per one unit increase of whatever *x* measures. For an exponential function, the value of *b* always represents the **growth or decay rate** – typically expressed as a percent. You’ll need to set *b* = 1 + *r* or *b* = 1 – *r*, then solve for *r* to get the percent change.

**Don’t forget to bring your Chromebook and calculator ***every day* for the rest of this week!

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