Case study Consumer Research Inc. This case study take information on a sample of fifty mention card accounts. This information, table mavin, included kin coat, one-year income, and the tote bag up charged to the account. Scatter plots of the data were produced. Figure one shows abode size vs. amount charged. This graph shows that the arbitrary bilinear birth of the data is somewhat strong. The r squared is 0.56, analyzing the graph at that place is a coefficient of correlation of class size to amount charged, yet there is a range per household size. Figure two shows annual income vs. amount charged. The linear proportion 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 main(a) 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:
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