Which method would be most effective in identifying the relationship strength between two continuous variables?
The correlation coefficient quantifies the strength and direction of a linear relationship between two continuous variables. Values close to +1 or -1 indicate a strong positive or negative relationship, respectively, while values near 0 suggest a weak or no linear relationship. Calculating the correlation coefficient is particularly useful in EDA as it helps analysts understand potential dependencies between variables, which can influence modeling and feature selection decisions. This metric is essential for identifying patterns that might not be evident through simple visualization. Option A is incorrect as histograms display frequency distribution, not relationships. Option B is incorrect because box plots are used to display distribution and identify outliers, not relationships. Option D is incorrect as pie charts are used for categorical data proportions, not continuous variable relationships. Option E is incorrect because line plots are for trends over time, not relationship strength between two variables.
The _________ property of the element is a whole number.
Which of the following is the most reactive element in the Periodic table?
Which substance is commonly used as a thermometric material in thermometers due to its expansive properties under temperature changes?
What is the primary purpose of using bleaching powder in drinking water?
Litmus paper, used to test pH levels, is derived from which organism?
What is the primary use of calcium carbonate in antacid tablets?
Formula of ‘Quick Lime’ is __________
What are antibiotics?
What term describes the enthalpy change when a substance transitions from solid to liquid at its melting point?
Which gas is most abundant in the Earth's atmosphere.