1 00:00:01,660 --> 00:00:08,330 Now, Esther, discuss in our Curie Lecture, we have four variables for distances. 2 00:00:08,650 --> 00:00:11,320 This one is to be street best for. 3 00:00:14,950 --> 00:00:18,040 All these variables are conveying the same information. 4 00:00:19,490 --> 00:00:22,610 Which is the distance from the employment hub. 5 00:00:23,360 --> 00:00:32,090 So let's just create an average variable of this for distances to convey the same information in a single 6 00:00:32,090 --> 00:00:32,510 variable. 7 00:00:35,030 --> 00:00:36,120 We're done very well. 8 00:00:36,350 --> 00:00:36,950 All right. 9 00:00:38,650 --> 00:00:42,450 Yeah, and then spread records will mention no one. 10 00:00:45,010 --> 00:00:47,510 But even then, it is the best. 11 00:00:49,640 --> 00:00:55,930 And we wanted this very much to be evidence values of this one, this will be seeing this. 12 00:00:56,180 --> 00:00:57,050 All right. 13 00:01:03,500 --> 00:01:04,040 This one. 14 00:01:06,680 --> 00:01:07,880 It's Boomlets three. 15 00:01:08,720 --> 00:01:12,180 Does this fall and when we do, I. 16 00:01:12,500 --> 00:01:16,300 Before we get the opportunity for doing this. 17 00:01:19,300 --> 00:01:19,660 No. 18 00:01:21,960 --> 00:01:24,480 Let's run the duty of this. 19 00:01:24,900 --> 00:01:25,590 We will be off. 20 00:01:26,370 --> 00:01:26,640 Right. 21 00:01:27,220 --> 00:01:27,840 Despite. 22 00:01:33,450 --> 00:01:34,570 We executed this. 23 00:01:38,670 --> 00:01:44,760 You can see and then you oh, what a new variable which is, let's dispense. 24 00:01:47,570 --> 00:01:50,240 Now, VFP, on average spends. 25 00:01:51,270 --> 00:01:58,470 We can also take a minimum of this four or maximum of this for the census to represent the same information. 26 00:01:59,100 --> 00:02:05,330 But for now, we have taken on the average variable, you can try those variations on your own. 27 00:02:06,480 --> 00:02:13,410 So maybe people in the city looks for the nearest implements and that instead of the average distance 28 00:02:13,500 --> 00:02:14,850 of the employment center. 29 00:02:16,260 --> 00:02:23,220 So depending on your business and depending on your business knowledge, try to evaluate all such variations 30 00:02:23,460 --> 00:02:25,800 and choose the appropriate dummy variable. 31 00:02:27,080 --> 00:02:32,380 Or no, we are on the losing average of this focus. 32 00:02:34,150 --> 00:02:36,920 We will be using this evidence since midday, but. 33 00:02:38,130 --> 00:02:43,950 And we will be moving this forward with EBOs because average distance is, in a sense, representing 34 00:02:44,010 --> 00:02:45,390 all of this photo with Abels. 35 00:02:48,090 --> 00:02:54,000 So let's build this forward where he once distance one distance would be sense to me. 36 00:02:54,180 --> 00:02:56,390 And this is for Billy. 37 00:02:57,580 --> 00:03:03,880 The command is dealt with right then and we'll mention. 38 00:03:05,640 --> 00:03:08,790 We'll call them names or be a square record. 39 00:03:09,170 --> 00:03:09,570 That's right. 40 00:03:09,990 --> 00:03:15,710 That's all that's done this not that's done that you do this again. 41 00:03:16,260 --> 00:03:22,200 Get whether we are going to go to Liberty Bell or not began to dispense. 42 00:03:22,400 --> 00:03:23,570 One is not here. 43 00:03:24,050 --> 00:03:30,340 We have been treated so well in the nation's history this fall as well. 44 00:03:47,100 --> 00:03:49,440 That's done the video game. 45 00:03:56,940 --> 00:04:03,850 You can see a little distance with a bottle of and be on the bridge, dispense our data. 46 00:04:06,270 --> 00:04:12,510 Now, if you remember, we had four observations from our unity. 47 00:04:13,080 --> 00:04:20,520 And one of them was still believed the bus terminal variable since it was undertaking one single value. 48 00:04:22,230 --> 00:04:26,460 And it was not providing any useful information or mobile. 49 00:04:27,900 --> 00:04:29,820 Let's be equitable, Esman. 50 00:04:42,740 --> 00:04:45,820 Let's look at the first five goals of our data. 51 00:04:50,790 --> 00:04:54,680 You can see, but Steadman is not a part of or does it?