Relationship Between Two Quantitative Variables

-0.26

.26

-.52

.52

0

attempts to explain the observed outcomes.

measures an outcome of a study. independent variable

value of Q3- Q1

value that is very high or low from overall pattern.

strong, negative linear relationship

strong, positive linear relationship

no linear relationship, scattered

slightly linear negative relationship

quantitative data

qualitative data

difference between highest and lowest values in the set

spread of the graph of values

direction and strength of relationship between two variables

standard deviation

1.82

1.17

2.18

0.26

0.78

I only

II only

III only

II and III only

I and II only

attempts to explain observed outcomes, independent variable, x

measures strength and direction

shows relationship between two quantitative variables

measures outcome of a study, dependant variable, y

line that makes the sum of the squares of the vertical distances of data points from the line as small as possible.

proportion of the variation in the values of y that is explained by the LSRL

random uniform scatter of points above and below the LSRL residual

observation that if it is removed it would drastically change the result of some calculation

The line that makes the sum of the squares of the vertical distances of the data points from the line as small as possible. minimizes total area in all of the squares.

observed value(y) - predicted value (y"hat")

random uniform scatter of points above and below the LSRL residual

an observation that lies outside the overall pattern of the other observations.