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    • https://espanol.libretexts.org/Estadisticas/Teoria_de_Probabilidad/Probabilidad_Aplicada_(Pfeiffer)/12%3A_Varianza%2C_Covarianza_y_Regresi%C3%B3n_Lineal/12.04%3A_Problemas_de_varianza%2C_covarianza%2C_regresi%C3%B3n_lineal
      x = [-5 -1 3 4 7]; px = 0.01*[15 20 30 25 10]; EX = dot(x,px) % Use of properties EX = 1.6500 VX = dot(x.^2,px) - EX^2 VX = 12.8275 EW = (3 - 4+ 2)*EX EW = 1.6500 VW = (3^2 + 4^2 + 2^2)*VX VW = 371.99...x = [-5 -1 3 4 7]; px = 0.01*[15 20 30 25 10]; EX = dot(x,px) % Use of properties EX = 1.6500 VX = dot(x.^2,px) - EX^2 VX = 12.8275 EW = (3 - 4+ 2)*EX EW = 1.6500 VW = (3^2 + 4^2 + 2^2)*VX VW = 371.9975 icalc % Iterated use of icalc Enter row matrix of X-values x Enter row matrix of Y-values x Enter X probabilities px Enter Y probabilities px Use array operations on matrices X, Y, PX, PY, t, u, and P G = 3*t - 4*u; [R,PR] = csort(G,P); icalc Enter row matrix of X-values R Enter row matrix of Y-…

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