# Question: Given the information in Exercise 15 13 determine and interpret the

Given the information in Exercise 15.13, determine and interpret the coefficients of correlation and determination for January–May burned acreage in Florida versus January–May rainfall in the state.

In exercise

The Florida ecosystem is heavily reliant on wet and dry seasons, and is particularly dependent on the winter and spring rainfall that helps reduce damage due to wildfires. Data file XR15013 lists the number of acres burned and the number of inches of rainfall during January–May for 1988–2000. Given these data, determine the least-squares equation for predicting acreage burned during the January–May period as a function of rainfall during that period, then interpret its slope.

In exercise

The Florida ecosystem is heavily reliant on wet and dry seasons, and is particularly dependent on the winter and spring rainfall that helps reduce damage due to wildfires. Data file XR15013 lists the number of acres burned and the number of inches of rainfall during January–May for 1988–2000. Given these data, determine the least-squares equation for predicting acreage burned during the January–May period as a function of rainfall during that period, then interpret its slope.

**View Solution:**## Answer to relevant Questions

Given the information in Exercise 15.12, determine and interpret the coefficients of correlation and determination for gross revenue versus the number of equity partners. In exercise For the top law firms in the world in ...Based on sample data, the 90% confidence interval for the slope of the population regression line is found to be from –2.5 to 1.4. Based on this information, what is the most accurate statement that can be made about the ...In a regression analysis, the sum of the squared deviations between y and y-bar is SST = 120.0. If the coefficient of correlation is r = 0.7, what are the values of SSE and SSR? What is residual analysis, and what information can it provide? A scatter diagram includes the data points (x = 3, y = 8), (x = 5, y = 18), (x = 7, y = 30), and (x = 9, y = 32). Two regression lines are proposed: (1) ŷ = 5 + 3x, and (2) ŷ = – 2 + 4x. Using the least-squares ...Post your question