Estimate Spearman's rank correlation coefficient, \(r_{s}\), for the following scatter graph.

Estimate Spearman's rank correlation coefficient, \(r_{s}\), for the following scatter graph.

Estimate Spearman's rank correlation coefficient, \(r_{s}\), for the following scatter graph.

Two judges score a diving competition with five competitors. After ranking the scores, the \(r_{s}\) value is found to be 0.952. Comment on \(r_{s}\)in this context.

The amount of time studying for a Biology test is compared with the assessment scores. The \(r_{s}\) value for the data was 0.650. Interpret this value.

Before calulating Spearman's Rank Correlation Coeffiient, we create a ranked table. Create a ranked table for the data below. Rank from smallest to largest.

The temperature of coffee is taken over time. The results are given in the table below.

Find \(r_{s}\)

The table below shows a class sample of study time compared with scores on a test.

Fill in the gaps in the ranked table below.

From the list below, pick the advantages of using Spearman's rank correlation coefficient rather than Pearson's product moment correlation coefficient.

A set of data is strictly increasing. If the final data point is brought below the previous data point, but so that it is still above all other data points. How will this effect \(r_{s}\)?