fit a first,second,and third degree polynomial, and determine the respective regression co-efficients.
5 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
james bond
el 4 de Dic. de 2017
Comentada: james bond
el 5 de Dic. de 2017
i am new to matlab and just need an example to follow, please help Please see attached. thanx
i attempted the first part, plz help with regression...
Time = [1,2,3,4,5,6,7,8,9,10];
Pressure = [26.1,27.0,28.2,29.0,29.8,30.6,31.1,31.3,31.0,30.05];
New_Time = 0:0.5:10;
newf1 = polyval(polyfit(Time,Pressure,1),New_Time);
newf2 = polyval(polyfit(Time,Pressure,2),New_Time);
newf3 = polyval(polyfit(Time,Pressure,3),New_Time);
plot(Time,Pressure,'o',New_Time,newf1,New_Time,newf2,New_Time,newf3)
title('Fit of Pressure Samples')
xlabel('Sample Interval,sec')
ylabel('Pressure, PSI')
legend('Data','Linear Fit','Quadratic Fit','Cubic Fit') % linear is first order, quadratic is second order and cubic is third order
2 comentarios
John D'Errico
el 5 de Dic. de 2017
READ THE GETTING STARTED TUTORIALS. Being new is irrelevant. You won't learn a thing until you start making an effort.
Respuesta aceptada
KSSV
el 5 de Dic. de 2017
R3 = polyfit(Time,Pressure,3) ;
Gives the coefficients of the polynomial. In this case coefficients of third degree polynomial.
6 comentarios
John D'Errico
el 5 de Dic. de 2017
Calling R^2 a "regression coefficient" is spectacularly poor terminology on the part of the person who wrote that assignment. But, yes, if you need to compute R^2, then you need to use the formula.
Más respuestas (0)
Ver también
Categorías
Más información sobre Polynomials en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!