To determine which scatterplot shows a non-linear association, let's analyze the data sets provided.
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First Data Set:
- x: 50, 46, 80, 59, 78, 64, 68, 53, 70, 68
- y: 90, 100, 57, 80, 60, 75, 72, 82, 70, 67
Scatterplot Analysis: This data may display a weak linear trend, but there's a lot of variability, especially on the low end of y-values.
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Second Data Set:
- x: 50, 46, 80, 59, 78, 64, 68, 53, 70, 68
- y: 35, 30, 75, 45, 70, 50, 55, 36, 62, 67
Scatterplot Analysis: This data appears to have a somewhat fluctuating pattern, but there is no clear linear association.
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Third Data Set:
- x: 50, 46, 90, 59, 78, 64, 68, 53, 70, 72
- y: 75, 71, 100, 80, 90, 82, 85, 77, 87, 89
Scatterplot Analysis: This data set likely demonstrates a clear linear association as y increases consistently with x.
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Fourth Data Set:
- x: 50, 46, 98, 59, 78, 64, 68, 53, 70, 72
- y: 75, 71, 90, 55, 70, 100, 90, 25, 40, 76
Scatterplot Analysis: This dataset exhibits non-linear behavior due to variability in y where for lower values of x, y values decrease before increasing again.
Based on the analysis, the second data set and fourth data set demonstrate non-linear associations, but the fourth data set has a more evident non-linear trend due to its varied response at different x-values. Thus, the fourth dataset is most likely the scatterplot showing a non-linear association.
Referencing the datasets, you can plot them to visually confirm the non-linear trends. If you'd like, I can also guide you through how to create the plots or any further analysis needed!