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1. Provide a clear statement of the research topic and the underlying relationship that you are modeling. Identify the dependent variable and the independent variables (minimum of 3 independent variables) in your model. Write an equation to specify this model. Explain the theoretical underpinnings of the model you have specified. Why is it important to study/research the relationship described by the model? Who do you think should be interested in the results? Based on the theory, explain how each independent variable is expected to affect the dependent variable (i.e., the expected signs for the slope parameters in the model).
2. Describe how all the variables are defined.
3. If there are any explanatory variables that are qualitative in nature, define the dummy (or binary) variables that can be used to incorporate these factors into the model.
4. Explain what type of data you would use to estimate the model - time series, cross-section, or panel data.
We expect to have a positive relationship between Advertising and Demand.
Find a statistics study on Unemployment and explain the five-step process of the study.
Calculate the maximum reduction in the standard deviation
Calculate the total tax bill for both low and high income individuals in both countries and fill in the table above with your results and what is the unemployment rate
Test the hypothesis that there is not relationship between the proneness to use excessive force score and the force score for officers trained at Academy A.
Please read through the case scenario shown below to gain an understanding of the background information and the research study
Prepare a Scilab script to evaluate the volumetric flux of smoke in a plume produced by a fire of given HRR Q' The plume loses α percent of its heat by radiation and β percent by other means.
What is the probability in the sample?
What are the assumptions made in performing the hypothesis test in Question 3? Are these assumptions reasonable? Provide explanation to substantiate your view.
Discuss the importance of the independent variable in Linear Regression.
Develop a sales forecast for each store for December Plot the data for each store.Use data in table.
Using the data on the growth rate of Money and inflation, run a regression of the rate of inflation on the rate of growth of the money supply
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