Answer:
a. Scatter plots
Step-by-step explanation:
Scatter plots are useful for identifying the possible correlation between two variables and for visualizing the trend or relationship between them. In a scatter plot, each point represents a pair of values from the two variables, and the pattern of the points can reveal information about the relationship between the variables. Bar graphs, pie charts, and histograms are more suitable for displaying the distribution of a single variable or comparing categories, rather than showing the relationship between two variables.
The most useful tool for identifying the possible correlation between two variables and for identifying a trend line or line of best fit is
a. Scatter plots
Why is this so?
Scatter plots: These graphs explicitly show the relationship between two numerical variables by plotting individual data points as dots. The location of each dot along the horizontal and vertical axes represents the values of the variables for a particular observation. By visually observing the pattern of the dots, you can identify trends, positive or negative correlations, and outliers.
Bar graphs: While they can visually depict the distribution of data for categorical variables, bar graphs don't show the direct relationship between two continuous variables.
Pie charts: These are suitable for displaying proportions of categorical data and not for identifying relationships between numerical variables.
Histograms: Similar to bar graphs, histograms depict the distribution of a single continuous variable, not the relationship between two variables.
Therefore, due to their ability to display individual data points and visualize trends, scatter plots are the most effective tool for identifying correlations and finding trend lines.
