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@explainstuff: The least squares method explained in under a minute. #mathtok #math #animation #regression #statistics #LearnOnTikTok
Ajdin Burnic
Open In TikTok:
Region: BA
Friday 07 April 2023 14:10:52 GMT
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Comments
user5280482021390 :
Why do you square the distances?
2023-04-07 18:52:49
47
Gauss1965 :
Cool visual presentation!
2023-04-07 16:27:04
124
just_playing :
what program are u using for animation??
2023-04-07 23:23:56
20
Katia :
I feel like we could get a better result if we drew lines perpendicular to the graph instead of vertical
2023-04-09 07:15:12
1
baba sraga :
how would you calculate what is the best fitting line?
2023-04-08 11:54:57
0
Anis :
why didn't you use the perpendicular distance between the points and the line ? are there other types of Least square methods ?
2023-04-12 02:08:45
1
Masoom :
Mean squared error, mx+b
2023-04-07 21:02:10
2
Titus Fuh :
Why do you have to square them though. Won’t the sums of the original distances change in the same manner?
2023-04-29 13:48:43
0
د.عيلم :
Isn’t that standard deviation or something
2023-04-07 23:25:58
2
Val :
These makes me understand the least squares regression line sm more for my stats class!
2023-04-08 04:14:09
16
burner :
does the projection matrix implicitly do this?
2023-04-07 15:42:04
3
Robert Davis :
Why did the line of best fit go to therapy? It couldn't stop minimizing the squares…
2023-04-18 05:29:08
2
Sajid Hossain2105 :
cool video. but turn down the music. we can hardly hear you
2023-04-17 12:17:21
0
. :
Isn’t this just average or… mean(?)
2023-04-13 07:56:48
0
Hà Xuân Anh :
Can you add sub for video ?
2023-04-07 16:05:42
4
user2718281828459 :
Best in mean square only if the errors are uncorrelated, equal variance and unbiased
2023-04-07 20:56:51
2
ɱặjíd Ěł Řěŷ :
méthode des moindres carrées ordinaire
2023-04-07 18:11:12
1
Andrew San :
Linear regression for data analysis .
2023-04-17 08:58:24
1
Hufgu :
Why not cube ? Or say raised to nth power?
2023-04-19 06:11:33
1
Sammy 🌞☀️ :
Noooice
2023-04-08 02:49:24
1
HĐ :
@Võ Minh Phước thvlđc
2023-07-02 11:34:46
1
xXddayZz :
@sunshine
2023-04-08 23:30:54
0
user3721067682683 :
do we have a real data and use this method to understand the relation because its obvious that y is directly proportional to x just not in linear way?
2023-04-08 05:15:03
0
Garrett :
I should work on my dissertation…
2023-04-08 03:47:45
0
turgutmakbak :
Why don’t we take distances perpendicular to the line, square and sum those?
2023-04-09 00:56:59
0
Katia :
Eastern European accent?
2023-04-09 07:10:48
0
Arrian Ryan :
Great explanation
2023-04-08 03:38:59
0
callmeishmale :
Why squared error not, say, first or fourth power?
2023-04-10 01:18:02
0
Maci Sordi :
You should square x and y distances
2023-04-10 06:21:06
0
nullnull9921 :
pearson ranked correlation r is the gradient or is that a different test?
2023-04-10 10:15:23
0
Ridvan :
wow
2023-04-10 11:06:45
0
whoisthislasiav :
So tidy 🥰
2023-04-07 21:44:45
0
hu7991 :
bas voice..
2023-04-16 15:29:47
0
loewe7 :
klasse
2023-04-07 21:31:29
0
le 4ème :
it also works with more than degré 1.
2023-04-17 16:38:43
0
móc số iu em :
@Lê Minh Thi
2023-04-18 03:24:34
0
Zzimba :
Do you make these animations or is there a specific app you use?
2023-04-07 18:09:24
0
.augustinho :
achei lindo, mas não entendi 😂
2023-04-07 17:44:23
0
Abady :
Next time increase the sound volume to make it talkless👍🏽
2023-04-24 10:54:02
0
jr6560879 :
I’s say a sine added on that line would be much more accurate.
2023-05-01 22:31:53
0
Synapsida :
why squared?
2023-04-07 17:39:17
0
pierce :
@zay
2024-05-07 15:51:49
0
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