Sweetness of orange juice. The quality of the orange juice produced by a manufacturer (e.g., Minute Maid, Tropicana) is constantly monitored. There are numerous sensory and chemical components that combine to make the best tasting orange juice. For example, one manufacturer has developed a quantitative index of the ‘‘sweetness'' of orange juice. (The higher the index, the sweeter the juice.)
Is there a relationship between the sweetness index and a chemical measure such as the amount of water-soluble pectin (parts per million) in the orange juice? Data collected on these two variables for 24 production runs at a juice manufacturing plant are shown in the table on p. 102. Suppose a manufacturer wants to use simple linear regression to predict the sweetness (y) from the amount of pectin (x).
| Run | Sweetness Index | Pectin (ppm) | Run | Sweetness Index | Pectin (ppm) | 
| 1 | 5.2 | 220 | 13 | 5.8 | 306 | 
| 2 | 5.5 | 227 | 14 | 5.5 | 259 | 
| 3 | 6 | 259 | 15 | 5.3 | 284 | 
| 4 | 5.9 | 210 | 16 | 5.3 | 383 | 
| 5 | 5.8 | 224 | 17 | 5.7 | 271 | 
| 6 | 6 | 215 | 18 | 5.5 | 264 | 
| 7 | 5.8 | 231 | 19 | 5.7 | 227 | 
| 8 | 5.6 | 268 | 20 | 5.3 | 263 | 
| 9 | 5.6 | 239 | 21 | 5.9 | 232 | 
| 10 | 5.9 | 212 | 22 | 5.8 | 220 | 
| 11 | 5.4 | 410 | 23 | 5.8 | 246 | 
| 12 | 5.6 | 256 | 24 | 5.9 | 241 | 
(a) Find the least squares line for the data.
(b) Interpret β^0 and β^1 in the words of the problem.
(c) Predict the sweetness index if amount of pectin in the orange juice is 300 ppm.