Scatter Plots Review #2 (page 1)
For each of the following scatter plots, describe the association shown between the two variables as either linear or
nonlinear—or if no association is shown, state that. If the association is linear, identify it as positive or negative,
strong or weak.
1)
2)
3)
4)
__________________
__________________
__________________
__________________
__________________
__________________
__________________
__________________
__________________
__________________
__________________
__________________
5) The scatter plot shows the how the years of work experience relates to
the hourly wage in a local restaurant.
a) Draw a line of best fit for the data.
b) Based on your line on best fit, would you expect an employee of
10 years with the restaurant to earn $30 per hour? Explain.
c) List any outliers.
Scatter Plots Review #2 (page 1)
For each of the following scatter plots, describe the association shown between the two variables as either linear or
nonlinear—or if no association is shown, state that. If the association is linear, identify it as positive or negative,
strong or weak.
1)
2)
3)
4)
__________________
__________________
__________________
__________________
__________________
__________________
__________________
__________________
__________________
5) The scatter plot shows the how the years of work experience relates to
the hourly wage in a local restaurant.
a) Draw a line of best fit for the data.
b) Based on your line on best fit, would you expect an employee of
10 years with the restaurant to earn $30 per hour? Explain.
c) List any outliers.
__________________
__________________
__________________
Scatter Plots Review #2 (page 2)
6) The scatter plot shows the relationship between
the weekly total sales ($) and the number of
different rug designs a rug store has.
a) Draw a line of best fit.
40000
Total Sales ($)
b) Write an equation for the line of best fit in
slope-intercept form.
50000
30000
20000
10000
c) Interpret the slope and y-intercept
20
40
60
80
100
Number of Designs
120
140
160
d) Based on this relationship, predict what the total sales will be when the store has 110 different rug designs.
Scatter Plots Review #2 (page 2)
6) The scatter plot shows the relationship between
the weekly total sales ($) and the number of
different rug designs a rug store has.
e) Draw a line of best fit.
40000
Total Sales ($)
f) Write an equation for the line of best fit in
slope-intercept form.
50000
30000
20000
10000
g) Interpret the slope and y-intercept
20
40
60
80
100
Number of Designs
120
140
160
h) Based on this relationship, predict what the total sales will be when the store has 110 different rug designs.