Question

applying the standard how might this standard appear on a test? 1) every year the noaa releases hurricane season predictions for the atlantic basin, which includes the atlantic ocean, caribbean sea and the gulf of mexico. the table shows data for both the predicted and actual number of hurricanes from 2005 to 2016. a) create a scatter plot on the graph, using the hurricane data in the table. b) where does the data appear to cluster? c) does there appear to be an outlier? yes no if yes, where? d) are hurricane season predictions accurate? explain your reasoning.

Explanation:

Step1: Create scatter - plot

Plot each pair of (Predicted number of hurricanes, Actual number of hurricanes) from the table on the graph. For example, for 2005, plot the point (8, 15).

Step2: Identify clustering

Visually inspect the scatter - plot. The data appears to cluster around the region where the predicted number of hurricanes is between 4 and 10 and the actual number of hurricanes is between 2 and 10.

Step3: Check for outliers

An outlier is a data point that is far from other data points. By looking at the scatter - plot, we can see that the point corresponding to 2005 (8 predicted, 15 actual) seems to be an outlier as it is relatively far from the other points.

Step4: Evaluate accuracy

The predictions do not seem to be very accurate. There is a wide spread of points around the line of perfect prediction (where predicted = actual). For example, in 2005, the predicted number of hurricanes was 8 while the actual was 15, and in 2013, the predicted was 9 and the actual was 2. There is no clear linear relationship between the predicted and actual numbers of hurricanes.

Answer:

a) (Scatter - plot should be created as described in Step1)
b) Around predicted 4 - 10 and actual 2 - 10
c) YES, at the point corresponding to 2005 (8 predicted, 15 actual)
d) No. There is a wide spread of points around the line of perfect prediction and no clear linear relationship between predicted and actual numbers of hurricanes.