Question

The following data represent the maximum wind speed (in knots) and atmospheric pressure (in millibars) for a random sample of 20 hurricanes that originated over the Atlantic Ocean in the last decade. Use this data to construct a model for the speed of an Atlantic hurricane, using barometric pressure as a predictor.

In Minitab Express, enter the given data in two separate columns (one for predictor values, one for response values). Use Minitab Express to calculate the summary statistics used in linear regression. Report your answers exactly as they appear in Minitab - do not round.

Note: For means and standard deviations, use STATISTICS -> Describe -> Descriptive Statistics. You can select "Data are in more than one column" from the drop-down menu to have Minitab calculate statistics for both columns at once. You can also reduce the output to just the mean and standard deviation in the options tab to further simplify the output. For the (Pearson) correlation coefficient, use STATISTICS -> Correlation -> Correlation, and input both columns of data.

Answer 1

The Minitab output is:

The model is:

y = 1245.9 - 1.1994*x