1 00:00:00,190 --> 00:00:04,700 Now, let's say we have a random sample of ten people who each told us how 2 00:00:04,700 --> 00:00:07,260 many hours they slept the night before and 3 00:00:07,260 --> 00:00:10,860 their temporal memory score on the BBC test. Is 4 00:00:10,860 --> 00:00:14,690 there a relationship between these two variables? Well, 5 00:00:14,690 --> 00:00:17,870 it's very difficult to judge relationships based on 6 00:00:17,870 --> 00:00:21,450 just lists of data. So let's visualize it. 7 00:00:22,460 --> 00:00:25,800 This scatter plot visualizes the data in the table. 8 00:00:25,800 --> 00:00:29,410 Each point represents one row of the table. 9 00:00:29,410 --> 00:00:31,940 Here you can see that the hours slept 10 00:00:31,940 --> 00:00:35,190 was about five and the temporal memory score 11 00:00:35,190 --> 00:00:39,084 looked to be about 55. That must correspond 12 00:00:39,084 --> 00:00:44,706 to this row here, 556. You can see that hours slept is on the X axis and 13 00:00:44,706 --> 00:00:52,050 temporal memory score is on the Y axis. We call the variable on the X axis 14 00:00:52,050 --> 00:00:57,840 the independent variable or the predictor variable. And we call the variable on 15 00:00:57,840 --> 00:01:00,970 the Y axis the dependent variable, or 16 00:01:00,970 --> 00:01:04,230 the outcome. We're trying to predict temporal 17 00:01:04,230 --> 00:01:07,780 memory score, using hours slept. Now that 18 00:01:07,780 --> 00:01:10,740 you've sen this data visualized, what can 19 00:01:10,740 --> 00:01:13,130 we say about the relationship between hours 20 00:01:13,130 --> 00:01:17,540 slept and temporal memory score? This time 21 00:01:17,540 --> 00:01:19,460 this question might be easier to answer.