Vaccination Investigation.
One thing that I'm definitely going to be an expert by the end of this STP is reading graphs! So for this experiment, we had to figure out the best type of model that fit our data. We talked about three different models; linear, proportional, and inverse proportional. A linear model is basically a line graph, where if positive, as the x value goes up, the y value also goes up. These type of models usually have a y-intercept and are mathematically written as y=mx+b. For our experiments, the y value is our dependent variable, the x is our independent variable, m is the slope of the model, and b is the y-intercept. So whenever the independent variable increases, so does the dependent variable plus whatever that initial amount. Sometimes, for our experiments, we really want to only observe the relationship between our dependent and our independent variable, and not worry about that initial amount. That's where a proportional model comes in. A proportional mod...