8.SP.A.2
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line and informally assess the model fit by judging the closeness of the data points to the line.
Example Problems
An ornithologist wants to look at the relationship between the breadth of peregrine falcon eggs and the mass of the falcon chicks that hatch from them. The data show a linear pattern with the summary statistics shown below:
Find the equation of the least-squares regression line for predicting the chick's mass from the breadth of the egg, in the form .
Round your entries to the nearest hundredth.
| mean | standard deviation | |
|---|---|---|
| x = egg breadth (mm) | ||
| y = chick's mass (g) | ||
Find the equation of the least-squares regression line for predicting the chick's mass from the breadth of the egg, in the form .
Round your entries to the nearest hundredth.
A tutoring center director wants to look at the relationship between hours of tutoring and final grades. The data show a linear pattern with the summary statistics shown below:
Find the equation of the least-squares regression line for predicting the final grade (points) from the hours of tutoring, in the form .
Round your entries to the nearest hundredth.
| mean | standard deviation | |
|---|---|---|
| = hours of tutoring | ||
| = final grade (points) | ||
Find the equation of the least-squares regression line for predicting the final grade (points) from the hours of tutoring, in the form .
Round your entries to the nearest hundredth.
An automotive journalist wants to look at the relationship between engine displacement and fuel economy. The data show a linear pattern with the summary statistics shown below:
Find the equation of the least-squares regression line for predicting the fuel economy (mpg) from the engine displacement (liters), in the form .
Round your entries to the nearest hundredth.
| mean | standard deviation | |
|---|---|---|
| = engine displacement (liters) | ||
| = fuel economy (mpg) | ||
Find the equation of the least-squares regression line for predicting the fuel economy (mpg) from the engine displacement (liters), in the form .
Round your entries to the nearest hundredth.
Khan Academy Resources
1-on-1 AI tutoring aligned to 8.SP.A.2. Instant help for students, real-time insights for teachers.
Used in classrooms by 100,000+ students at Baltimore County, Plano ISD, Deer Valley USD, KIPP, and districts nationwide.
Free for teachers, forever →