can't find line of best fit from simple code

I can't get a line of best fit to my data using the code from the matlab polyfit page. Does anyone know what might be going wrong?
power=[70,56,42,28];
depth90_09 =[2.9000, 3.0000, 4.4000, 1.7000];
Fit = polyfit(power,depth90_09,2);
plot(polyval(Fit,power))
hold on
scatter(power,depth90_09)
Cheers!

 Accepted Answer

The first argument to plot must be the independent variable vector. When I added that, it works!
(I broke out the polyval call as a separate assignment, for clarity.)
power=[70,56,42,28];
depth90_09 =[2.9000, 3.0000, 4.4000, 1.7000];
Fit = polyfit(power,depth90_09,2);
Val = polyval(Fit, power);
figure
plot(power, Val)
hold on
scatter(power,depth90_09, 'filled')
.

5 Comments

Thanks a lot! This looks great.
Is there a way to make the line of best fit continuous?
As always, my pleasure!
Thank you!
Yes! If by ‘continuous’, you intend ‘smooth’, use linspace
power=[70,56,42,28];
depth90_09 =[2.9000, 3.0000, 4.4000, 1.7000];
Fit = polyfit(power,depth90_09,2);
power_v = linspace(min(power), max(power), 150);
Val = polyval(Fit, power_v);
figure
plot(power_v, Val)
hold on
scatter(power,depth90_09, 'filled')
.
As always, my pleasure!
Thank you for all your help Star Strider! For some reason my lines of best fit don't seem to be accurate for some of the data sets. Do you know why that might be?
Here is my code:
power=[70,56,42,28];
depth90_09 =[2.9000, 3.0000, 4.4000, 1.7000];
depth50_09 =[4.3,3.4,1.8,1.4];
depth50_08 =[3,2.3,1.2,1.5];
depth50_07 =[3.3,3.3,1.2,1.6];
depth50_06 =[4,2.6,2.5,0.5];
depth50_05 =[2.7,2.7,1.8,1];
depth50_04 =[3.5,2.3,1.1,0.7];
depth50_03 =[2.8,1.4,0.7,1];
depth50_02 =[0.6,1.1,0.7,0];
power_v = linspace(min(power), max(power), 150);
Fit = polyfit(power,depth90_09,2);
Valdepth90_09 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth90_09)
hold on
scatter(power,depth90_09, 'filled')
%%%%%%
Fit = polyfit(power,depth50mms_09,2);
Valdepth50mms_09 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_09)
hold on
scatter(power,depth50_09, 'filled')
%%
Fit = polyfit(power,depth50mms_08,2);
Valdepth50mms_08 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_08)
hold on
scatter(power,depth50_08, 'filled')
%%
Fit = polyfit(power,depth50mms_07,2);
Valdepth50mms_07 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_07)
hold on
scatter(power,depth50_07, 'filled')
%%
Fit = polyfit(power,depth50mms_06,2);
Valdepth50mms_06 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_06)
hold on
scatter(power,depth50_06, 'filled')
%%
Fit = polyfit(power,depth50mms_05,2);
Valdepth50mms_05 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_05)
hold on
scatter(power,depth50_05, 'filled')
%%
Fit = polyfit(power,depth50mms_04,2);
Valdepth50mms_04 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_04)
hold on
scatter(power,depth50_04, 'filled')
%%
Fit = polyfit(power,depth50mms_03,2);
Valdepth50mms_03 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_03)
hold on
scatter(power,depth50_03, 'filled')
%%
Fit = polyfit(power,depth50mms_02,2);
Valdepth50mms_02 = polyval(Fit, power_v);
figure
plot(power_v, Valdepth50mms_02)
hold on
scatter(power,depth50_02, 'filled')
Cheers
@Em your code throws an error. What is the value of
depth50mms_09
Are you sure you want a fit and not an interpolation? The quadratic fit looks reasonable to me.

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R2021b

Asked:

Em
on 20 Jan 2022

Commented:

on 28 Jan 2022

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