10 33. A scientist is studying the relationship between outdoor air temperature and the rate water evaporates from the soil. For 10 days, the scientist measured the average temperature and the amount of water that evaporated (measured in mm). Temperature (in degrees Celsius) 13 17 18 18 19 22 22 24 25 31 Evaporation (in mm per day) 2.4 5.0 3.2 3.1 5.7 4.2 5.9 4.0 6.8 5.9 The linear regression results are below. y = 0.190x + 0.7 r = 0.656 df = 8 P = 0.040 t = 2.456 Is it appropriate for her to use the linear regression equation to predict the evaporation when the temperature is 26 degrees Celsius? A) Yes, the data are linearly related and the prediction is 5.64 mm evaporation per day. B) No, the data are not linearly related. C) No, the data are linearly related, but 26 degrees is not within the scope of the study. D) Yes, the data are linearly related and the prediction is 18.39mm evaporation per day. E) There is not enough information to determine if the data are linearly related