fit a first,second,and third degree polynomial, and determine the respective regression co-efficients.
3 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
james bond
am 4 Dez. 2017
Kommentiert: james bond
am 5 Dez. 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 Kommentare
John D'Errico
am 5 Dez. 2017
READ THE GETTING STARTED TUTORIALS. Being new is irrelevant. You won't learn a thing until you start making an effort.
Akzeptierte Antwort
KSSV
am 5 Dez. 2017
R3 = polyfit(Time,Pressure,3) ;
Gives the coefficients of the polynomial. In this case coefficients of third degree polynomial.
6 Kommentare
John D'Errico
am 5 Dez. 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.
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Descriptive Statistics finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!