13. The correlation between the price of a used car (measured in dollars) and the color of the used car is r=0.82. 14. If we are trying to predict the price of a book based on the number of pages in the book, the book price would be the explanatory variable and the number of pages in the book would be the response variable. 15. A news report mentions that the correlation between number of text messages stent in a typical day and number of text messages received in a typical day is 2.59. 16. The correlation between number of ice cream cones sold and temperature (in degrees Fahrenheit) is presented as r=0.92 cones per degree Fahrenheit. 17. An article reports that the correlation between height (measured in inches) and shoe length (measured in inches), for a sample of 50 adults, is r=0.89, and the regression cquation to predict height based on shoe length is: Predicted height =49.91−1.80 (shoe length).