Case study Consumer Research Inc. This case study take on information on a sample of fifty address card accounts. This information, table genius, included kin surface, one-year income, and the push up charged to the account. Scatter plots of the data were produced. Figure one shows star sign size vs. amount charged. This interpret shows that the collateral elongated birth of the data is somewhat strong. The r squared is 0.56, analyzing the graph at that place is a correlativity of fellowship size to amount charged, yet there is a range per household size. Figure two shows annual income vs. amount charged. The linear semblance of the data is weak, with an r squared of 0.
398. Though a positive linear relationship is present. The last scatter plot, Figure 3, shows household size vs. annual income. This graph shows that there is no correlation at all between these two factors. Making the factors freelancer of each new(prenominal) and viable for use in multiple regression. oftenness ...If you trust to get a full essay, order it on our website:
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