Using lines of best fit
for 8th grade
In each instance use the given line of best fit to predict approximate values
Scatter graphs: use line of best fit to predict values
Scatter graphs use points to represent values that correlate the relationship between two variables. The scatter graph will indicate the degree to which the two variables are linked or related. If the variables are linked, you will be able to draw a line of best fit. The more strongly two variables are correlated, the more closely the points will follow the line of best fit.
One of the benefits of being able to draw a line of best fit is that it enables you to predict values for one of the variables that you don't have a data point for. To do so, you must first locate the independent variable on the x-axis. Draw an imaginary vertical line from that value up to the line of best fit. To get the y-axis value, draw an imaginary horizontal line from the line of best fit to the y-axis to read off the value.
It should be stressed that these predicted values will always be approximations, just as the line of best fit is usually an approximation relative to the actual data which tends to contain more variability in it than can be accommodated by a line of best fit.
In this topic you are asked to use the provided line of best fit to predict values for the dependent variable (on the y-axis) given a value for the independent variable (on the x-axis).
Below is a table showing the first 6 question answer pairs for the topic "Using lines of best fit" as used in the lessons for this topic. Our games and tests for the topic use these 6 items plus 10 additional question answer pairs.
The topic "Using lines of best fit" is in the category Statistics for 8th grade (ages 13 to 14).
Revise 'Using lines of best fit' with one of our games for 8th grade
Each of our math topics for secondary are made up of between 6 and 20 question and answer pairs (both the written form and a robot voice speaking those questions and answers). Each topic can be used with all the activities on the site.
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