I can use data to make predictions of linear data.

It may be helpful to review what we learned about linear functions. Go back and review Unit 4: Linear Functions, understand how to graph lines for this unit.

The best way to predict your future is to create it.” — Abraham Lincoln

Vocabulary

Scatter plot - a graph in which the values of two variables are plotted along two axes, the pattern of the resulting points revealing any correlation present Bivariate - data that has two variables Clustering - When data seems to be "gathered" around a particular value Outlier - A value that "lies outside" (is much smaller or larger than) most of the other values in a set of data Positive association - A positive association exists when as one variable increases, the other variable also increases Negative association - A negative association exists when as one variable decreases, the other variable also decreases Linear association - Linear relationships can be expressed in a graphical format where the variable and the constant are connected via a straight line or in a mathematical format where the independent variable is multiplied by the slope coefficient, added by a constant, which determines the dependent variable. Nonlinear association – graph does not represent a straight line. In this case, no line of best fit can be found Extrapolation - an estimation of a value based on extending a known sequence of values or facts beyond the area that is certainly known Interpolation - an estimation of a value within two known values in a sequence of values