Construct a 95% confidence interval estimate.

In mining engineering, holes are often drilled through rcck, using drill bits. It is expected that drilling time increases with depth. The business problem relates to whether drilling is faster using dry drilling holes or wet drilling holes. Data have been collected from a sample of drill holes that contains measurements of the time to drill each additional 5 feet (in minutes), the depth (in feet), and whether the hole was dry or wet. Use the accompanying data to complete parts (a) through (n). For parts (a) through (k), do not include an interaction term. . Click the icon to view the data table. VI: 6.043 +(0.005)x1|+(2.1o1)x2| A (Round to three decimal places as needed.) drilling hole being wet is estimated to increase the time by 2.101 minutes over the time it would take to drill a dry hole. (Round to three decimal places as needed.) 1:. Predict the mean additional drilling time for a dry drilling hole at a depth of 120 feet. Construct a 95% condence interval estimate and a 95% prediction interval. Predict the mean additional drilling time for a dry drilling hole at a depth of 120 feet. VI = 6.643 (Round to three decimal places as needed.) Construct a 95% condence interval estimate. b. Interpret the regression ooeffcients in (a). Holding constant whether the drilling hole is dry or wet, for each increase of 1 in the depth of the hole, the predicted time is estimated to increase by 0.005 minutes. Holding constant the depth of the hole, the (Round to three decimal places as needed.) Help me solve this View an example Get more help A Clear all