gpa_study_hours <-
structure(list(gpa = c(4, 3.7999999999999998, 3.9300000000000002, 
3.3999999999999999, 3.2000000000000002, 3.52, 3.6800000000000002, 
3.3999999999999999, 3.7000000000000002, 3.75, 3.2999999999999998, 
3.4249999999999998, 3.7949999999999999, 3.8300000000000001, 3.2999999999999998, 
3.75, 3.1499999999999999, 3.7000000000000002, 3.7999999999999998, 
3.6299999999999999, 3.8999999999999999, 3.294, 3.7000000000000002, 
3.3999999999999999, 4, 3.3999999999999999, 3.7000000000000002, 
3.7999999999999998, 3.3999999999999999, 3.3999999999999999, 3.3999999999999999, 
3, 3.6000000000000001, 3.5670000000000002, 3.2999999999999998, 
3.3999999999999999, 3.6000000000000001, 3.6699999999999999, 3.8199999999999998, 
2.8999999999999999, 3.8999999999999999, 3.3999999999999999, 3.6000000000000001, 
3.1000000000000001, 3.3999999999999999, 3.7999999999999998, 3.7000000000000002, 
3.7000000000000002, 3.7999999999999998, 3.9199999999999999, 3.7999999999999998, 
3.8679999999999999, 3.3500000000000001, 3.8500000000000001, 3.5499999999999998, 
3.7000000000000002, 3.6499999999999999, 3.125, 4, 3.25, 3.8599999999999999, 
3.5, 3.4500000000000002, 3.6000000000000001, 3.8660000000000001, 
3.8199999999999998, 3.2000000000000002, 3.5, 3.7999999999999998, 
3.7999999999999998, 3.7000000000000002, 3.75, 3.2999999999999998, 
3.875, 3.7000000000000002, 3.5, 3.2000000000000002, 3.5659999999999998, 
3.5, 4.2999999999999998, 3.6000000000000001, 3.2000000000000002, 
3.8250000000000002, 3.8500000000000001, 3.75, 4, 3.3999999999999999, 
3.8999999999999999, 3.8250000000000002, 3.7000000000000002, 3.7999999999999998, 
2.9100000000000001, 3.5590000000000002, 3.6899999999999999, 3.2999999999999998, 
3.75, 3.8999999999999999, 3.6499999999999999, 3.5, 3.6000000000000001, 
3.6749999999999998, 3.8999999999999999, 3.6000000000000001, 3.6749999999999998, 
3.7000000000000002, 3.6600000000000001, 3.7330000000000001, 3.7000000000000002, 
2.6000000000000001, 4, 3.2000000000000002, 3.1600000000000001, 
3.5, 3.6499999999999999, 3.8999999999999999, 3.7850000000000001, 
3.1000000000000001, 3.1499999999999999, 3.6099999999999999, 3.2999999999999998, 
3.7000000000000002, 3.7000000000000002, 3.75, 3.3999999999999999, 
3.6000000000000001, 3.5, 3.7999999999999998, 3.7000000000000002, 
3.8399999999999999, 3.4100000000000001, 3.8250000000000002, 2.9500000000000002, 
3.9249999999999998, 3.2999999999999998, 3.2999999999999998, 3.6000000000000001, 
4, 3.2999999999999998, 3.8900000000000001, 3.2000000000000002, 
3.9700000000000002, 3.2999999999999998, 3.8599999999999999, 3.7599999999999998, 
3.5, 3.6000000000000001, 3.5499999999999998, 3.9700000000000002, 
3.9249999999999998, 3.6800000000000002, 3.25, 3.5600000000000001, 
2.8500000000000001, 3.6000000000000001, 3.4500000000000002, 3.5, 
3.1499999999999999, 3.3500000000000001, 3.5, 3.79, 3.0219999999999998, 
3.46, 3.5499999999999998, 3.9700000000000002, 3.9249999999999998, 
3.2000000000000002, 3.3999999999999999, 3.8999999999999999, 3.6000000000000001, 
3.8300000000000001, 3.7999999999999998, 4, 3.5, 3.2999999999999998, 
4, 3.1000000000000001, 3.5, 3.6200000000000001, 3.6000000000000001, 
3.7999999999999998, 3.2000000000000002, 3.9249999999999998, 3.8399999999999999, 
3.1000000000000001, 4, 3.3500000000000001, 3.9249999999999998, 
3, 3.6000000000000001, 3.7000000000000002, 3.8399999999999999, 
3.7999999999999998, 3.1000000000000001), study_hours = c(10, 
25, 45, 10, 4, 10, 24, 40, 10, 10, 30, 7, 15, 60, 10, 10, 6, 
20, 8, 30, 35, 12, 6, 20, 10, 14, 10, 10, 30, 20, 7, 20, 16, 
14, 21, 21, 11, 10, 10, 15, 10, 10, 20, 10, 10, 12, 25, 20, 25, 
15, 10, 40, 15, 10, 10, 25, 25, 36, 30, 14, 2, 10, 5, 4, 20, 
12, 15, 3, 10, 15, 25, 15, 10, 15, 7, 14, 7, 40, 6, 10, 10, 20, 
20, 69, 8, 10, 3, 8, 15, 45, 10, 18, 10, 10, 35, 10, 8, 15, 30, 
35, 20, 12, 35, 8, 30, 10, 14, 28, 7, 20, 15, 24, 20, 20, 20, 
25, 15, 16, 10, 35, 15, 20, 40, 4, 12, 49, 20, 30, 12, 8, 60, 
6.5, 20, 18, 10, 40, 21, 12.5, 12, 20, 10, 10, 20, 20, 10, 30, 
15, 20, 15, 14, 5, 5, 8, 8, 14, 15, 20, 14, 14, 25, 30, 20, 30, 
20, 7, 8, 20, 14, 20, 60, 15, 20, 15, 8, 15, 10, 7, 20, 10, 28, 
12, 5, 30, 5, 6, 30, 15, 9, 24, 12, 15, 10, 15)), row.names = c(NA, 
-193L), class = c("tbl_df", "tbl", "data.frame"))