To show the relationship between amount of rainfall and the number of car accidents, the best type of graph to use is a scatter diagram.

Question

BlackTom AI · Accepted Answer

The question asks us to evaluate whether the statement about using a scatter diagram to show the relationship between rainfall amount and car accidents is true or false.
Option 1: True. This choice is correct because scatter diagrams (scatter plots) are specifically suited for illustrating the relationship between two quantitative variables. In this case, rainfall amount (a continuous variable) and number of car accidents (a count/continuous variable) can be plotted as paired data points to reveal patterns, strength of association, and potential trends or outliers. The goal is to visualize how changes in rainfall relate to changes in accident frequency, which a scatter plot does well.
Option 2: False. This claim is incorrect because saying a scatter diagram would not be appropriate contradicts the fundamental purpose of scatter plots. Other graph types (like bar charts or pie charts) are less effective for depicting a relationship between two numeric variables, and a line graph is more typical for time-series data rather than cross-sectional relationships at a given set of conditions. Stating that a scatter diagram is not the best choice ignores its suitability for bivariate quantitative relationships and could mislead someone into selecting an unsuitable visualization.
In summary, the reasoning supports that a scatter diagram is the appropriate tool for visualizing the relationship between rainfall and car accidents, while the false option incorrectly contests this suitability.

To show the relationship between amount of rainfall and the number of car accidents, the best type of graph to use is a scatter diagram. True/False

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To show the relationship between amount of rainfall and the number of car accidents, the best type of graph to use is a scatter diagram. True/False

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