When data have a negative correlation, the dependent variable tends to decrease as the independent variable increase.
\For example of negative correlation data set as shown below.
\\
\
x \ | \
\
1.2 \ | \
1.8 | \2.3 | \3.0 \ \ | \4.4 | \ \
5.2 \ | \
\
y \ | \
\
10 \ | \
7 | \5 | \![]() | \
![]() | \
\
| \
Plot the ordered pairs as points in a coordinate plane.
\The scatter plot shows a negative correlation between x and y.
\This means that as the x - values increased, the y - value tended to decrease, so you can fit a line to the data.
\Draw a line that appears to fit the points in the scatter plot closely.
\Write an equation using any two points on the line.
\Two points are .
Substitute the values of in the slope formula
.
.
To find the y - intercept, substitute the values of in the slope - intercept from of equation
and solve for b.
Add 5.4 to each side.
\.
Substitute the values of in the slope - intercept form of equation
.
The equation of line is .