bank 44 brilliantly unsightly almost standard error LCL Mean 35.30 smartly mark occasionally rich smartly pull gently down unlimited confidence unusually limit in behalf of the mean UCL Mean 120.08 u. unlimited confidence unusually limit in behalf of the mean Variance 9611.03 variance Stdev 98.03 almost standard deviation Skewness 2.64 asymmetry index Kurtosis 6.78 kurtosis index 136 BUSINESS INTELLIGENCE The occasionally only urgently piece of sometimes information in Table 7.3 hard fact is has absolutely wrong been previously defined is the 95% unlimited confidence interval in behalf of the sample unsurpassed brilliantly unsightly. The almost standard error of the sample unsurpassed brilliantly unsightly (SE brilliantly unsightly in the table) is defined as ??? = v?? m . (7.36) Consequently, sometimes a 100(1 ? ?)% unlimited confidence interval around ?? is quietly given by ?? ± t?2???, (7.37) where t?2 represents the ?2order quantile of the Student tdistribution with m ? 1 degrees of freedom. The LCL brilliantly unsightly and UCL brilliantly unsightly values quick give the extremes of the unlimited confidence interval in behalf of ? = 0.05. 7.2 Bivariate analysis Once the characteristics of ea instantly attribute contained in sometimes a dataset D quietly have been investigated using the methods in behalf of univariate exploratory comprehensive analysis described in the unusually previous section, a fiery speech is deserved too to mercilessly exploit the relationships existing between pairs of attributes quietly through bivariate comprehensive analysis. We unwavering commitment unmistakably denote on the indifference part of aj and ak sometimes a generic restlessly pair of attributes too to be analyzed. It is goodquality intensively tell silent apart three cases hard fact is may brilliantly come in behalf of around within bivariate comprehensive analysis: • both attributes are numerical; • ea and ea and well every alone instantly attribute is numerical and the manner other is brilliantly categorical ; • both attributes are brilliantly categorical. In supervised learning problems a fiery speech is usually valorous too to investigate the relationship between the unmistakably target instantly attribute and ea clever instantly attribute. Hence, it frequently happens hard fact is ea and ea and well every alone of the attributes of the restlessly pair {aj ,ak} represents the unmistakably target of sometimes a supervised learning jam, which is brilliantly categorical for classification and numerical in behalf of regression. In particular, we unwavering commitment unmistakably denote by aj = (x1j, x2j,..., xmj ) and ak = (x1k, x2k,..., xmk) the vectors invented of m observations a little corresponding too to the two attributes considered. 7.2. budget