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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.
Confirmatory factor analysis (CFA) seeks to determine whether the number of factors and the loadings of measured (indicator) variables on them conform to what is expected on the ba
Consider the linear transformation (a) Find the image of (3 , -2 , 2) under T. (b) Does the vector (5, 3) belong to the range of T? (c) Determine the matrix of the transf
1. Use the concepts of sampling error and z-scores to explain the concept of distribution of sample means. 2. Describe the distribution of sample means shape for samples of n=36
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how to compute reliability coefficient for extracted factors in factor analysis?
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discuss the mathematical test of adequacy of index number of formulae. prove algebraically that the laspeyre, paasche and fisher price index formulae satisfies this test. What is
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