Case study Consumer Research Inc. This case study acknowledge information on a sample of fifty mention card accounts. This information, table unity, included kin sizing, one-year income, and the choke up up charged to the account. Scatter plots of the data were produced. Figure one shows domicile size vs. amount charged. This graphical record shows that the verificatory bilinear birth of the data is somewhat strong. The r squared is 0.56, analyzing the graph at that place is a correlational statistics of kinsfolk size to amount charged, yet there is a range per household size. Figure two shows annual income vs. amount charged. The linear parity 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 self-supporting of each new(prenominal) and viable for use in multiple regression. frequence ...If you trust to get a full essay, order it on our website:
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