The Minitab regression output below is body heat loss from all sources, at vario

Question

The Minitab regression output below is body heat loss from all sources, at various strong linear relationship. for the data on beak heat loss, as a percent of total temperatures (degree Celsius). A scatterplot shows a strong linear relationship. Use the regression equation to predict beak heat loss at a temperature of 25 degrees Celsius. What percent of variation in beak heat loss is explained by the regression line with temperature? Find the correlation coefficient r ? How do you know whether the sign of r is + or-? Circle the correct answer. Which of the following is least affected if an extreme high outlier is added to your data:

Explanation / Answer

a) Percent heat loss = 0.92 + 2.06 (25) = 52.42

b) Since R-sq = 83.6%. about 83.6% variation in beak heat loss is explained by the regression with temperature.

c) R-sq = 83.6%=> r = 0.836 = +0.914. Since slope is positive, the correlation will also be positive.

9. 1. A) The Median because median is the middle value when data is arranged in ascending or descending order. When outlier is added to data, median is least affected by this.

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