Work Experience (Years)Work Experience and SalarySalaryoutlieroutlierline of best fitLesson 8-11 for exercise sets. &KDSWHU 3UDFWLFH $FWLYLWLHVTell what kind of correlation each scatter plot describes.
Tell whether you would expect a positive correlation, a negative correlation,
or no correlation for each of the following.
4.science aptitude and shirt size
5.the list price of a gemstone and its value
6.number of losses a baseball team has and the attendance at its home games7.The table at the right shows data about
temperature change. Use the data to
make a scatter plot. Then describe the
relationship between the data sets.8.Discuss and Write Look at the scatter plot for Vehicle Resale Value
on the preceding page. How would the correlation between the number
of miles a car has been driven and its resale value change if the labels
for the axes were reversed?Remember:Outliers are points that are
clearly separate from the set of data.In many cases, you can approximate the line of best fit
by “eyeballing” the data and using a straightedge.Use the straightedge to connect several points in the
scatter plot so that there appear to be an equal number
of data points above and below the line of best fit.A line of best fit can be very useful in making
predictions. If you know the value of one of the two
variables, you can use the line to estimate a likely
value for the other.You can draw a line near the points of a scatter plot to clearly show
the trend or correlation between two sets of data. This line is known
as a. The line of best fit is a line that is close to most
of the data points.This scatter plot shows the relationship between work experience
and salaries for car salespeople at one dealership.line of best fitTime Noon 2 PM 4 PM 6 PM 8 PM
Temperature ( 8 F) 41 46 49 46 51