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In the context of a machine learning project aimed at predicting housing prices based on features such as square footage and number of bedrooms, which visualization technique would you recommend to initially explore the relationship between square footage (a continuous variable) and the predicted housing price (another continuous variable)? Consider the need for identifying trends, outliers, and the strength of the relationship. Choose the best option.
A
Box plot, as it provides a summary of the distribution of each variable separately.
B
Histogram, for it displays the frequency distribution of each variable individually.
C
Bar chart, suitable for comparing the average prices across different categories of square footage.
D
Scatter plot, because it allows for the examination of the relationship between two continuous variables by plotting individual data points.
E
Both A and D, as a box plot can summarize distributions and a scatter plot can show relationships.