Lab Instructions - University of Alberta Statistics Center
... calculation of the regression coefficients) and S.E. of mean predictions (an estimate of the standard error of the mean predicted value). The Distances group includes Mahalanobis (a measure of the distance of a case from the means of all of the explanatory variables; this measure provides an indica ...
... calculation of the regression coefficients) and S.E. of mean predictions (an estimate of the standard error of the mean predicted value). The Distances group includes Mahalanobis (a measure of the distance of a case from the means of all of the explanatory variables; this measure provides an indica ...
designing a multidimensional data warehouse for
... is that Kimball’s conformed dimensions are de-normalized, whereas Inmon uses a highly normalized central database model. Inmon's data marts stores a second copy of the data from the centralized data warehouse tables, whereas the dimensions of Kimball used in the data marts, are not copies of the con ...
... is that Kimball’s conformed dimensions are de-normalized, whereas Inmon uses a highly normalized central database model. Inmon's data marts stores a second copy of the data from the centralized data warehouse tables, whereas the dimensions of Kimball used in the data marts, are not copies of the con ...
ppt - Perimeter College Sites
... • “We think technology should be used to analyze data, allowing students to focus on ...
... • “We think technology should be used to analyze data, allowing students to focus on ...
Simple Linear Regression
... These studentised residuals now have constant variance of 1 and are the preferred type of residual used in many model diagnostics. They can be obtained from the fitted model object using the studres() function. > studres(rec.lm) ...
... These studentised residuals now have constant variance of 1 and are the preferred type of residual used in many model diagnostics. They can be obtained from the fitted model object using the studres() function. > studres(rec.lm) ...
Expert systems and mass appraisal
... stage for the inputs to an expert systems model. Students of economics begin their studies with a purposefully simplistic example of supply and demand, as shown in Figure 1, to illustrate that an increase in demand (from D1 to D2) results in an increase in the quantity supplied (from Q1 to Q2) along ...
... stage for the inputs to an expert systems model. Students of economics begin their studies with a purposefully simplistic example of supply and demand, as shown in Figure 1, to illustrate that an increase in demand (from D1 to D2) results in an increase in the quantity supplied (from Q1 to Q2) along ...