Case Study Consumer Research Inc.

Case study Consumer Research Inc. This case study complicate information on a sample of fifty citation card accounts. This information, table unmatchable, included kin coat, one-year income, and the stuff up charged to the account. Scatter plots of the data were produced. Figure one shows abode size vs. amount charged. This represent shows that the peremptory analog birth of the data is somewhat strong. The r squared is 0.56, analyzing the graph at that place is a correlativity of family unit size to amount charged, yet there is a range per household size. Figure two shows annual income vs. amount charged. The linear relationship 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 mugwump of each new(prenominal) and viab le for use in multiple regression. frequence ...If you trust to get a full essay, order it on our website: OrderCustomPaper.com

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