create a function that calculates slope, intercept, and correlation coefficient of height and weight in matlab

main.m
function [slope,intercept,r] = calc_slope_intercept_corr(height,weight)
% This function calculates the slope, intercept and correlation coefficient of the linear
% regression of height and weight inputs.
% Input: height is an array of heights in meters
%        weight is an array of weights in kilograms
% Output: slope is the slope of the linear regression line
%         intercept is the y-intercept of the linear regression line
%         r is the correlation coefficient
% Author: [Your Name]

% Check if inputs have the same length
if length(height) ~= length(weight)
    error('Inputs must have the same length.');
end

% Calculate the slope and intercept of the linear regression
coefficients = polyfit(height,weight,1);
slope = coefficients(1);
intercept = coefficients(2);

% Calculate the correlation coefficient
r = corrcoef(height,weight);
r = r(2);

% Display the slope, intercept and correlation coefficient
disp(['Slope: ' num2str(slope)])
disp(['Intercept: ' num2str(intercept)])
disp(['Correlation Coefficient: ' num2str(r)])
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main.m
height = [1.52; 1.65; 1.73; 1.79; 1.85]; % in meters
weight = [52.2; 68.1; 80.5; 85.3; 88.2]; % in kilograms

[slope,intercept,r] = calc_slope_intercept_corr(height,weight);
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main.m
Slope: 43.0781
Intercept: -35.3323
Correlation Coefficient: 0.9904
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