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A REVIEW OF BASIC STATISTICAL CONCEPTS
MOVING AVERAGES AND SMOOTHING
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accompanying table adjusted advertising autocorrelation coefficients Box-Jenkins Bump's calculated Chapter chi-square Company components computer output correlation coefficient correlation matrix CT scans cyclical data points degrees of freedom dependent determine differenced dollars Durbin-Watson Durbin-Watson statistic economic electric range sales example explained exponential smoothing forecast error forecasting model forecasting process gallons increase independent variables indicates Lags Autocorrelations linear mean measured monthly months moving average multiple regression new-car registrations null hypothesis number of visitors observations parameters partial autocorrelation pattern percentage personal income plot population prediction predictor variables procedure random sample regression analysis regression coefficient regression equation regression line regression model relationship residuals sample data sample evidence sample statistic sampling distribution scatter diagram seasonal indexes selected shown in Table smoothing constant standard deviation standard error statistical SUM OF SQUARES Table for problem techniques trend equation trend estimate units variance variation weights