Vaccination Investigation !!!
A linear model is a graph in which all the data points are plotted in a scatter plot and a line of best fit is included. This line has a slope (m) and a y-intercept (b) that illustrate the general trend of the data points. If the independent variable is doubled, the dependent variable will be twice the independent variable plus the y-intercept. A proportional model is similar to a linear model because it also is a scatter plot that includes a line of best fit. What distinguishes a proportional model from a linear model is the fact that the line of best fit starts from the point (0,0). This means there is no y-intercept which in turn means that there is a direct proportional relationship between the data points and the line of best fit. There is a proportionality constant (A) that when multiplied by any of the independent variables will give you a value for the dependent variable. Here if the independent variable is doubled, the dependent variable ...