Computing missing values with linear fit

Hi Guys.

I've got two Vectors, one has some missing values. After plotting both against each other an creating a linear fit/regression I want to calculate the missing values.

My MATLAB Version is 2017b i think.

Best

Felix

[the cyclist]

It might be helpful for you to upload your data here in a MAT file, for us to take a look.

Are the missing values in the explanatory variable ("x") or in the response variable ("y")?

Do you have the Statistics and Machine Learning Toolbox?

[Felix Ja]

I'm using a remotedesktop on which are my data.

The respones "y"-Varbiable is missing

Answer 1

[the cyclist]

% Set the random number generator seed, for reproducibility
rng default

% Make up some pretend data
N = 10;
x = (1:N)';
y = 2*x + 0.3*randn(N,1);

% Make a couple y values missing
missingIndex = [2 7];
y(missingIndex) = NaN;

% Fit the data
mdl = fitlm(x,y)

% Get the predicted values for the missing y values
y_missing_predicted = predict(mdl,x(missingIndex))

[Felix Ja]

thanks, i try to ue this and write you again, if nessesary.

Cheers