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QUESTION IMAGE

which type of graph is best suited for relating data from two different…

Question

which type of graph is best suited for relating data from two different variables like the number of pounds people are overweight and the number of hours they spend watching television per day?
a.

b. line graph
c. scatter plot
d. histogram

Explanation:

To determine the best graph for relating two variables (e.g., overweight pounds and TV hours per day), we analyze the options:

  • Scatter Plot (Option B, assuming "B. Scatter plot"): Scatter plots are specifically designed to show the relationship (correlation) between two quantitative variables. Each point represents a pair of values (one for each variable), making it ideal for visualizing how one variable relates to the other (e.g., does more TV time correlate with more overweight pounds?).
  • Other graph types (e.g., bar graphs, histograms) are used for comparing groups or showing distributions of a single variable, not for illustrating relationships between two variables.
Brief Explanations

A scatter plot is the best choice to display the relationship between two quantitative variables (e.g., overweight pounds and daily TV hours). It plots individual data points as pairs of values, allowing visualization of correlation or trends between the two variables. Other graph types (e.g., bar, histogram) focus on single - variable distributions or group comparisons, not on bivariate relationships.

Answer:

B. Scatter plot