## A second course in business statistics: regression analysis |

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AA AA AA analysis of variance ANOVA assumptions Calculate coefficient coefficient of determination complete model completely randomized design confidence interval correlation degrees of freedom difference distribution dummy variables evidence to indicate example F VALUE PROB>F F-statistic F-test factorial experiment factors first-order model fit the model forecast graph I I I I I I I I I I I I I SECTION increase interaction terms INTERCEP linear model main effects MEAN SQUARE measurements Minitab model E(y moving average multicollinearity null hypothesis observed package prediction interval procedure qualitative independent variables quantitative R-SQ R-SQUARE random error randomized block design regression analysis Rejection region relationship response ROOT MSE salary sales engineer sample means SAS printout second-order model series model shown in Figure SOURCE DF SQUARE F VALUE SS(Total SSE2 standard deviation STANDARD ERROR sum of squares test statistic treatment means y-values