The quality of the orange juice produced by a manufacturer 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. Suppose a manufacturer wants to use simple linear regression to predict the sweetness (y) from the amount of pectin (x). Find a 99% confidence interval for the true slope of the line. Interpret the result. Click the icon to view the data collected on these two variables during 24 production runs at a juice-manufacturing plant. A 99% confidence interval for the true slope of the line is (Round to four decimal places as needed.) For ces Juice Sweetness Data n Run Sweetness Index Pectin (ppm) 1 234 5.2 5.5 220 228 6.0 259 5.9 210 5 5.8 224 6 6.0 215 7 5.8 231 8 5.6 268 9 5.6 239 10 5.9 212 11 5.4 410 12 5.6 255 13 5.7 302 14 5.5 259 15 5.3 284 16 5.3 383 17 5.6 271 18 5.5 264 19 5.7 228 24 2 2 2 2 2 20 5.3 263 21 5.9 233 22 5.8 220 23 5.8 243 5.9 241 Print Done -