MCQ on Correlation







Correlation in statistics measures the degree of association between two variables. It quantifies how changes in one variable relate to changes in another, providing insights into their relationship’s strength and direction. This MCQ on Correlation will help you to understand the uses of Correlation in biological research and data analysis.

You may also like: Biostatistics Notes  |  Biostatistics PPT  |  Biostatistics MCQs  |

Correlation is a statistical measure that indicates the:

The correlation coefficient ranges between:

A correlation coefficient of +0.70 indicates:

In a scatter plot, a positive correlation is represented by data points that:

The correlation coefficient is calculated as the:

If the correlation coefficient is close to -1, it indicates:

Which value of the correlation coefficient represents no linear relationship between the variables?

The term "spurious correlation" refers to:

The direction of a correlation is determined by:

A correlation coefficient of -0.25 indicates:

When interpreting a correlation coefficient, it is important to remember that correlation does not imply:

The coefficient of determination (R-squared) represents the proportion of:

A correlation coefficient of +1 indicates:

The Spearman rank correlation coefficient is used when:

Which type of correlation analysis is appropriate for examining the relationship between age and the number of books read per year?



You may also like: Biostatistics Notes  |  Biostatistics PPT  |  Biostatistics MCQs  |




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