{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

Measuring linear association

Measuring linear association - :correlation ,form,...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
Measuring linear association: correlation scatterplot  displays the direction, form, and strength of the relationship  between two  quantitative variables . Linear (straight-line) relations are  particularly important because a straight line is a simple pattern that is quite  common. A linear relation is strong if the points lie close to a straight line, and  weak if they are widely scattered about a line. Our eyes are not good judges of  how strong a linear relationship is. The two  scatterplots  in  Figure       4.4      depict  exactly the same data, but the lower plot is drawn smaller in a large field. The  lower plot seems to show a stronger linear relationship. Our eyes can be fooled  by changing the plotting scales or the amount of space around the cloud of points  in a  scatterplot .
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}