This text introduces students to basic statistical techniques used in formulating individual business forecasts and longe-range plans, with an emphasis on the application of these techniques by management to decision-making.
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autocorrelation coefficients autoregressive Box-Jenkins calculated Chapter chi-square company.s component correlation coefficient correlation matrix CT scans cyclical data points decision degrees of freedom dependent determine developed differenced discussed dollars Durbin-Watson statistic electric range sales error terms example expected value exponential smoothing ﬂuctuations forecast error forecasting methods forecasting model forecasting process forecasting techniques future gallons increase independent variables indicates inﬂuences least squares linear mean measured Minitab Minitab commands month monthly moving average multiple regression null hypothesis number of visitors observations output parameters partial autocorrelation patterns percentage period plot population predict predictor variable problem procedure random numbers random sample registrations regression analysis regression coefficient regression equation regression line regression model relationship residuals scatter diagram selected serial correlation shown in Table smoothing constant standard deviation standard error trend equation trend estimate variance