Question

a researcher plots the relationship between the number of hours spent watering plants each week and the growth in centimeters of those plants. the points on the scatterplot rise in a curved shape. what best describes this pattern? negative nonlinear association no association positive nonlinear association positive linear association question 2 why is it important to identify both clustering and outliers when analyzing a scatterplot? they show the data is incomplete. they prove the data is not useful. they help identify trends and unusual data that affect the overall relationship.

Explanation:

For the first question, a curved - rising scatterplot indicates a positive (as the general trend is upward) and nonlinear (since it's not a straight - line) association. For the second question, clustering helps in identifying common trends or groups within the data, and outliers are unusual data points. Both are important as they give a more comprehensive view of the data's relationship. Clustering shows the main patterns or trends, and outliers show data points that deviate from the norm, which can affect the overall relationship analysis.

Answer:

1. Positive nonlinear association
2. They help identify trends and unusual data that affect the overall relationship.