Describing Data Patterns Scatter Plots & Describing Data Patterns http://youtu.be/OyhAir08yOI

Scatter Plots . . . can be described using a variety of terms.

1.) Positive Association/Negative Association/No Association. Another word for association is correlation – both words are used to tell whether there is a relationship between 2 sets of data. Increasing can also be used to describe this graph. Decreasing can also be used to describe this graph.

2.) Linear Association/Non-Linear Association. A relationship that can be represented by a straight line has a linear association. (These terms are used with Positive and Negative Association.) A relationship which cannot be represented by a straight line has a non-linear association. (This term is used with No Association.)

3.) Outlier. An element of a data set that distinctly stands out from the rest of the data. Outlier

Commercial Break . . . Mayim Bialik Mayim Bialik, the star of The Big Bang Theory and 90’s sitcom Blossom, earned a Ph.D. in neuroscience at UCLA. She really is a neuroscientist just like the character she plays on The Big Bang Theory. Mayim Bialik

4.) Clustering. The data divides into one or more subsets (clusters) where the points are very close together. The tighter the cluster, the stronger the relationship between the 2 variables. Clustering Clustering

5.) Greatest Rate of Change/Least Rate of Change Remember that the rate of change is the ratio of the change in the output (y) value over the input value (x) (or slope). Slope is a measure of steepness of a line. Therefore: the greater the rate of change, the steeper the slope, and the higher the value of m (ex: m = 5). the lower the rate of change, the flatter the slope, and the lower the value of m (ex: m = 1/5).

6.) Initial Value The starting point or beginning value in the situation. It is the y-intercept (b).