Bivariate Data Analysis & Probability Unit Test 3 of 143 of 14 Items Question Determine which table has a non-linear association by graphing it on a scatterplot.(1 point) Responses x 15 35 60 40 45 90 85 50 75 80 y 100 150 250 175 180 375 375 225 350 400 x 10 5 65 25 100 110 95 y 95 50 275 105 250 175 300x 15 35 60 40 45 90 85 50 75 80 y 100 150 250 175 180 375 375 225 350 400 x 10 5 65 25 100 110 95 y 95 50 275 105 250 175 300 x 15 35 60 40 45 90 85 50 75 80 y 100 150 250 175 180 500 475 225 350 400 x 10 5 65 25 100 110 95 y 95 50 275 105 600 650 575x 15 35 60 40 45 90 85 50 75 80 y 100 150 250 175 180 500 475 225 350 400 x 10 5 65 25 100 110 95 y 95 50 275 105 600 650 575 x 100 150 250 175 300 475 375 225 350 300 y 15 35 60 40 45 90 85 50 75 90 x 100 525 600 450 250 125 50 y 95 25 25 35 110 250 300x 100 150 250 175 300 475 375 225 350 300 y 15 35 60 40 45 90 85 50 75 90 x 100 525 600 450 250 125 50 y 95 25 25 35 110 250 300 x 15 35 60 40 45 90 85 50 75 80 y 100 150 250 175 300 475 375 225 350 300 x 10 5 65 25 100 110 95 y 95 525 275 450 250 250 300x 15 35 60 40 45 90 85 50 75 80 y 100 150 250 175 300 475 375 225 350 300 x 10 5 65 25 100 110 95 y 95 525 275 450 250 250 300 Skip to navigation
To determine which table has a non-linear association by graphing it on a scatterplot, we need to compare the relationship between the x and y values in each table.
Looking at the options:
- Option 1: The values in table 1 do not appear to have a clear pattern or relationship.
- Option 2: The values in table 2 seem to have a linear association.
- Option 3: The values in table 3 show a curved pattern, indicating a non-linear association.
- Option 4: The values in table 4 also show a curved pattern, indicating a non-linear association.
- Option 5: The values in table 5 have a clear linear association.
Based on the above analysis, it can be concluded that table 3 and table 4 have a non-linear association.
Use the tables to create scatterplots and determine which scatterplot shows a non-linear association.(1 point) Responses x 100 150 350 250 375 225 300 200 525 y 15 35 100 80 110 60 90 50 25 x 425 125 50 y 125 250 300x 100 150 350 250 375 225 300 200 525 y 15 35 100 80 110 60 90 50 25 x 425 125 50 y 125 250 300 x 15 35 100 80 110 60 90 50 25 125 y 100 150 350 250 375 225 300 200 25 425 x 120 10 40 y 410 75 175x 15 35 100 80 110 60 90 50 25 125 y 100 150 350 250 375 225 300 200 25 425 x 120 10 40 y 410 75 175 x 100 150 350 275 375 225 300 200 150 400 y 450 425 100 250 90 350 175 375 400 75 x 250 75 175 y 300 500 390x 100 150 350 275 375 225 300 200 150 400 y 450 425 100 250 90 350 175 375 400 75 x 250 75 175 y 300 500 390 x 100 150 350 250 300 250 375 225 350 300 y 15 35 60 40 45 90 85 50 75 90 x 100 525 600 450 250 125 50 y 95 25 25 35 110 250 300
To determine which scatterplot shows a non-linear association, let's create scatterplots for each set of data:
Scatterplot 1:
x: 100, 150, 350, 250, 375, 225, 300, 200, 525
y: 15, 35, 100, 80, 110, 60, 90, 50, 25
Scatterplot 2:
x: 425, 125, 50
y: 125, 250
Scatterplot 3:
x: 100, 150, 350, 250, 375, 225, 300, 200, 525
y: 15, 35, 100, 80, 110, 60, 90, 50, 25
Scatterplot 4:
x: 425, 125, 50
y: 125, 250
Scatterplot 5:
x: 100, 150, 350, 275, 375, 225, 300, 200, 150, 400
y: 450, 425, 100, 250, 90, 350, 175, 375, 400, 75
Scatterplot 6:
x: 250, 75, 175
y: 300, 500
Scatterplot 7:
x: 100, 150, 350, 275, 375, 225, 300, 200, 150, 400
y: 450, 425, 100, 250, 90, 350, 175, 375, 400, 75
Scatterplot 8:
x: 250, 75, 175
y: 300, 500
Scatterplot 9:
x: 100, 150, 350, 250, 300, 250, 375, 225, 350, 300
y: 15, 35, 60, 40, 45, 90, 85, 50, 75, 90
Based on the scatterplots, we can see that Scatterplot 3 and Scatterplot 4 show a curved pattern, indicating a non-linear association.