onlineregression11:   One-predictor-variable linear regression   ⇒   y = f(x) Formulas β = [Σ(xy)-(ΣxΣy)/n]/{Σ(x2)-[(Σx)2/n]} α = [Σy-(βΣx)]/n Reference Ponce, V. M. 1989. Engenheiro Hidrológico, Principios e Pratica Prentice Hall, páginas 239-241. Return SAMPLE INPUT: Array size n:   15 Paired values of arrays y and x (you can cut and paste sample arrays into form): y:     89,51,72,112,70,45,42,59,100,92,70,42,92,130,89 x:     110,42,75,120,89,32,37,56,82,90,50,30,81,110,76 SAMPLE OUTPUT: α = 18.788       β = 0.8084       standard deviation σx = 29.568       standard deviation σy = 26.589 Correlation coeficient r = 0.899       standard error of estimate se = 12.080 Thank you for running onlineregression11.   Please call again.   [070417]