How to plot linear least square model for a data?
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I have a data in form of a table
>> T = {'1';'2';'3';'4';'5';'6';'7';'8';'9';'10'};
>> X = [1;2;3;4;5;6;7;8;9;10];
>> Y = [10;20;30;40;50;60;70;80;90;100];
>> Z = [1.1;2.2;3.3;4.4;5.5;6.6;7.7;8.8;9.9;11.0];
>> A = [2;4;6;8;10;12;14;16;18;20];
>> B = [1;3;5;7;9;11;13;15;17;19];
>> T = table(T,X,Y,Z,A,B)
i am new to matlab and i want to learn how to plot experimental data and use linear least square fitting to finding the relation between A-X,Y,Z and B-X,Y,Z along with equation, intercept, and r2 values. And once i get the model how can i use it to find the best combination of X,Y,Z to achieve highest (B-A) value. Thank you for the help in advance.
1 个评论
Kevin Chng
2018-10-11
编辑:Kevin Chng
2018-10-11
try this first
plot(A,X)
Then you have put effort to learn from here
Hope they help you. Any specific line you have doubt, you may ask in community after you tried your ways.
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