Using the R dataset pressure Obtain a simple linear least-squares regression for pressure temperature. Give the equation for the fit. Include the R code

I need help with my MATLAB code. I am using ode45 to solve my differential equation. But, the size of w_ode is 9x645. Size of t is also 1x645. How is that possible? Shouldn't t be 1x101 and w_ode be 9x101? How do I get the size to be 9x101? I need that size because I am subtract that matrix by another matrix of the same size. I_T = 2;J = 1.5;I = [I_T; I_T; J];w = [-0.1; 0.3; -1.1];L = [0;0;0]; t = 0:100; % Using ode45 to integrate w dotoptions = odeset('RelTol',1e-10,'AbsTol',1e-10);result = ode45(@dwdt_Bframe, t, [w; I; L], options); % Extracting information from ode solvert = result.xw_ode = result.y     function dwdt = dwdt_Bframe(t, wIL)     w = wIL(1:3);    I = wIL(4:6);    L = wIL(7:9);     % The w dot equations    dwdt = zeros(9,1);    dwdt(1) = (-(I(3) - I(2))*w(2)*w(3) + L(1)) / I(1);    dwdt(2) = (-(I(1) - I(3))*w(3)*w(1) + L(2)) / I(2);    dwdt(3) = (-(I(2) - I(1))*w(1)*w(2) + L(3)) / I(3);         % Keep the values of I and L constant    dwdt(4:6) = 0;    dwdt(7:9) = 0; end

since I am not too good with matlab help me out

Suppose for a particular week, the forecasted sales were $4,000. The actual sales were $3,000. What is the value of the mean absolute percentage error?