linear regression

i have a table of data

X = 1,2,3,4,5,6,7,8,9

Y= 4 5 6 9 8 7 4 1 2

how can i plot these points without having a line then using linear regression to find the uncertainty with a 95% confidence interval and plot that?

Answer 1

[Image Analyst]

% Define sample data.
X = [1,2,3,4,5,6,7,8,9];
Y = [4 5 6 9 8 7 4 1 2];
% Do the plotting:
plot(X, Y, 'bo', 'LineWidth', 3, 'MarkerSize', 15);
grid on;
% Maximize the figure window.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
% Label the various parts of the plot.
fontSize = 20;
title('lowcalorie Plot', 'FontSize', fontSize);
xlabel('X', 'FontSize', fontSize);
ylabel('Y', 'FontSize', fontSize);

coefficients = polyfit(X, Y, 1);
fittedY = polyval(coefficients, X);
hold on;
% Do the plotting:
plot(X, fittedY, 'rs-', 'LineWidth', 3, 'MarkerSize', 15);
legend('Y', 'Fitted Y');

Answer 2

[Richard Willey]

Alternatively, if you have the 12a version of Statistics Tbx

X = [1,2,3,4,5,6,7,8,9];
Y = [4 5 6 9 8 7 4 1 2];

myFit = LinearModel.fit(X,Y);
plot(myFit)

Answer 3

[Maria Ghani]

i need to run regression to get coeffecient between two variables x, y . my data set is daily from 1995 to 2022 . i need monthly coeffecient between two variables . what command should i need to write please anyone help. my dat afile is attached for detail information. x regress y but how i can get for every month ?

thanks in advance

[Image Analyst]

Extract out each month's data and then fit them individually using polyfit.

If you have any more questions, then attach your data and code to read it in with the paperclip icon, in a brand new discussion thread (not here), after you read this:

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