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10 multiple choice 10 points the pearson correlation measures the degree of linear relationship between two variables when the data (x and y values) consist of numerical scores from a/an: nominal scale of measurement ordinal scale of measurement interval or ratio scale of measurement none of the above
The Pearson correlation coefficient is used to measure the linear relationship between two variables. It requires that the data (X and Y values) be measured on an interval or ratio scale. Interval scales have equal intervals between values (e.g., temperature in Celsius or Fahrenheit), and ratio scales have a true zero point (e.g., height, weight). Nominal scales (e.g., gender, color) and ordinal scales (e.g., rankings) do not meet the requirements for the Pearson correlation.
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C. interval or ratio scale of measurement