A data analyst studies two variables over a period. Data set A is (100, 90, 81, 73) and data set B is (3500, 3150, 2835, 2552). The Pearson r value between these two variables is 0.99. Which statement describes the correlation between them?

IT Questions BankCategory: IoT Big Data & AnalyticsA data analyst studies two variables over a period. Data set A is (100, 90, 81, 73) and data set B is (3500, 3150, 2835, 2552). The Pearson r value between these two variables is 0.99. Which statement describes the correlation between them?

A data analyst studies two variables over a period. Data set A is (100, 90, 81, 73) and data set B is (3500, 3150, 2835, 2552). The Pearson r value between these two variables is 0.99. Which statement describes the correlation between them?

• It indicates no relationship.
• It is a weak negative correlation.
• It is a strong positive correlation.
• It is a strong negative correlation.

Explanation: The Pearson r is a quantity to indicate the correlation between two variables. It is expressed as a value between -1 and 1. Positive values express a positive relationship between the changes in two variables. Negative values express an inverse relationship. The magnitude of either the positive or negative values indicates the degree of correlation. In other words the closer the value is to 1 or -1, the stronger the relationship. 0 indicates no relationship.

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