In: Statistics and Probability
moving = data.frame (hours = c(49, 61.5, 65, 38, 26, 46, 28, 45.5, 35.5, 62, 18, 11, 53, 22, 59.5, 17, 44, 49, 45, 24.5, 25, 43, 29, 37, 20.5, 31, 29, 19.5, 17.5, 14, 41, 37, 27, 25.5, 43.5, 41.5, 65.5, 45, 18, 54.5, 53, 11, 13.5), size = c(940, 1187, 1135, 849, 524, 992, 563, 953, 628, 1122, 394, 264, 1109, 472, 1148, 316, 875, 1096, 836, 355, 407, 693, 745, 719, 511, 667, 576, 498, 381, 459, 810, 758, 433, 602, 862, 979, 1200, 823, 225, 927, 1005, 238, 420))
A : Construct a 95% confidence interval estimate of the slope of the regression line.
B: Construct and interpret a 95% confidence interval for the mean time for all moves with 1000 cubic feet.
C :Construct and interpret a 95% prediction interval for the time required for a move with 1000 cubic feet.