1 00:00:00,265 --> 00:00:04,077 [MUSIC] 2 00:00:04,077 --> 00:00:08,090 In fact, we can actually look at the coefficients with that line for our model. 3 00:00:08,090 --> 00:00:14,270 So we can take this square foot model that we built and we can call the function get. 4 00:00:16,420 --> 00:00:18,750 And we can get the coefficients. 5 00:00:20,900 --> 00:00:23,890 So these are what in the chorus we call the weights. 6 00:00:25,170 --> 00:00:29,390 And so, there are two weights, two coefficients. 7 00:00:29,390 --> 00:00:34,840 The first one is the intercept to where this line crosses the y axis. 8 00:00:34,840 --> 00:00:38,436 In this case, -$44,000. 9 00:00:38,436 --> 00:00:43,805 And the second one is the coefficient of the square feet, so this angle, 10 00:00:43,805 --> 00:00:50,410 which corresponds to, if you interpret it in this case, the price per square feet. 11 00:00:50,410 --> 00:00:52,636 How much does a square foot of a house cost? 12 00:00:52,636 --> 00:00:54,880 500 a square foot, how much it adds. 13 00:00:54,880 --> 00:00:56,760 And its $280 per square foot. 14 00:00:56,760 --> 00:00:59,990 This is the kind of average for Seattle. 15 00:00:59,990 --> 00:01:03,280 Some houses cost more per square foot, the ones up here. 16 00:01:03,280 --> 00:01:04,810 Some houses cost less. 17 00:01:04,810 --> 00:01:08,949 But on the average, if you think about it, it's about $208 per square foot, or 18 00:01:08,949 --> 00:01:11,240 at least according to this regression model. 19 00:01:14,515 --> 00:01:18,409 [MUSIC]