Anthony plants flowers from seed and each day measures the height of the flowers compared to the soil line. He records his measurements in a scatter plot. Anthony calculates the equation of the least squares regression line:

Predicted Height =0.56 ·
=
0.56
·
Days in Soil − 3.16
-
3
.
16

Use the drop-down menus to complete the statements below about what this linear model tells you about the height of a flower.

Math item stem image
CLEAR CHECK
The slope of the least squares regression line is .

The units of the slope of the line are .

The slope of the line tells you that for each new day you can predict that a flower's height will by about centimeters.

The
y
-intercept of the least squares regression line is .

The units of the
y
-intercept of the line are .

y
-intercept of the line tells you the .