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A scatter plot is the most effective visualization for examining the relationship between two continuous variables, as it displays individual data points on a two-dimensional plane. This allows analysts to observe trends, correlations, and potential outliers directly. By plotting one variable on the x-axis and the other on the y-axis, scatter plots reveal patterns that can indicate the strength and direction of a relationship, such as positive, negative, or no correlation, thus providing valuable insights for further statistical analysis. The other options are incorrect because: • Option 1 (histogram) shows data distribution for a single variable, not relationships. • Option 2 (box plot) is useful for displaying variability but not for showing relationships between variables. • Option 4 (pie chart) represents categorical data proportions and does not support continuous variable relationships. • Option 5 (bar chart) compares categories rather than continuous relationships.
Quantity I: The price of rice is decreased by 30%, by how much % the consumption is increase so that the expenditure will decreased by 10%?
Quantity-I: 'B' can do 75% of work in 45 hours. Find the value of 'T' if the time taken by him to complete the whole work is 'T' hours.