Case Study Consumer Research Inc.

Case study Consumer Research Inc. This case study include information on a sample of fifty citation card accounts. This information, table one, included kin size, one-year income, and the tote up charged to the account. Scatter plots of the data were produced. Figure one shows household size vs. amount charged. This graph shows that the positive linear birth of the data is somewhat strong. The r squared is 0.56, analyzing the graph at that place is a correlation of household size to amount charged, yet there is a range per household size. Figure two shows annual income vs. amount charged. The linear affinity 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 independent of each new(prenominal) and viable for use in multiple regression. Frequency ...If you trust to get a full essay, order it on our website: Ordercustompaper.com

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