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Construct your initial multivariate model by selecting a dependent variable Y and two independent variables X. Clearly define what each variable represents and how this relates to the overall theme you've been assigned. Explain the reasons for constructing this model by discussing the expected relationship between the Y and each X variable.
Step Simple Regression Analysis
Complete a separate simple regression analysis for Y and each X that you have selected for the model. Provide the equation, interpret the slope, and state its significance.. Also discuss the overall model performance for each X variable by looking at the adjusted R square. You should also plot the relationship between Y and each X in your model. Use the results of this step to comment on whether the chosen independent variables are suitable for inclusion in a multiple regression analysis. If you determine that an X variable is not appropriate, you should replace it with another variable.
The box plot displays the diversity of data for the income; the data ranges from 20 being the minimum value and 1110 being the maximum value. The box plot is positively skewed at 4
Regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual
rules for constructing the diagrames
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method for solving assingnment problem
Rank Correlation Sometimes the characteristics whose possible correlation is being investigated, cannot be measured but individuals can only be ranked on the basis of the chara
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