Calculate the simple linear regression to determine if the amount of sleep (y) can be predicted by time spent on homework (x). Graph the relationship and determine, numerically, if there are any outliers. Interpret all results in a paragraph citing the appropriate statistics.

Distance to Height Foot Size Hand Size Months Birthday Sleep Homework ID School Enrolled Work (whole (whole (whole (whole Enrolled Month (minutes) (minutes) miles) inches) inches) inches) 1 Arts and Sciences 12 January 0 60 8 5 360 30 Applied Science 6 February 0 62 6 400 45 and Technology Business and 8 April 5 66 10 420 60 Management 4 Nursing 10 June 10 68 12 440 15 5 Public Service 48 July 15 68 14 540 75 Arts and Sciences 48 June 30 70 12 480 120 Applied Science 36 October 32 72 11 Co 320 80 and Technology 8 Applied Science 32 November 36 75 14 440 60 and Technology 9 Applied Science 8 January 7 69 10 360 60 and Technology Applied Science 33 June 18 70 11 450 60 and Technology 11 Applied Science 6 November 11 71 11 390 15 and Technology 12 Arts and Sciences March 10 66 240 60 Applied Science 4 October 12 70 360 120 and Technology 14 Arts and Sciences September 65 11 7 480 60 Applied Science 14 January 5 68 10 360 60 and Technology 16 Applied Science 0 August 3 64 360 60 and Technology Applied Science 12 March 8 72 11 Co 480 30 and Technology 18 Arts and Sciences 3 September 26 70 11 LO 450 45 19 Applied Science 3 December 0 62 360 60 and Technology