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DOCUMENT 2Term Project ReportPurpose Statement and Model1) In the introductory paragraph, state why the dependent variablehas been chosen for analysis. Then make a general statement aboutthe model:âThe dependent variable _______ is determined by variables ________,________, ________, and ________.â2) In the second paragraph, identify the primary independent variableand defend why it is important.âThe most important variable in this analysis is ________ because_________.â In this paragraph, cite and discuss the two researchsources that support the thesis, i.e., the model.3) Write the general form of the regression model (less intercept andcoefficients), with the variables named appropriately so reader canidentify each variable at a glance:Dep_Var = Ind_Var_1 + Ind_Var_2 + Ind_Var_3For instance, a typical model would be written:Price_of_Home = Square_Footage + Number_Bedrooms + Lot_SizeWherePrice_of_Home: brief definition of dependent variableSquare_Footage: brief definition of first independent variableNumber_Bedrooms: brief definition of second independent variableLot_Size: brief definition of third independent variable[Note: student of course replaces these variable names with his/herown variable names.]â¢â¢Definition of Variables4) Define and defend all variables, including the dependent variable,in a single paragraph for each variable. Also, state the expectationsfor each independent variable. These paragraphs should be innumerical order, i.e., dependent variable, X1, then X2, etc.In each paragraph, the following should be addressed:How is the variable defined in the data source?Which unit of measurement is used?â¢â¢â¢â¢â¢â¢â¢â¢â¢â¢â¢â¢â¢â¢â¢â¢â¢â¢For the independent variables: why does the variable determine Y?What sign is expected for the independent variable's coefficient,positive or negative? Why?Data Description5) In one paragraph, describe the data and identify the data sources.From which general sources and from which specific tables are thedata taken? (Citing a website is not acceptable.)Which year or years were the data collected?Are there any data limitations?Presentation and Interpretation of Results6) Write the regression (prediction) equation:Dep_Var = Intercept + c1 * Ind_Var_1 + c2 * Ind_Var_2 + c3*Ind_Var_37) Identify and interpret the adjusted R2 (one paragraph):Define âadjusted R2.âWhat does the value of the adjusted R2 reveal about the model?If the adjusted R2 is low, how has the choice of independent variablescreated this result?8) Identify and interpret the F test (one paragraph):Using the p-value approach, is the null hypothesis for the F testrejected or not rejected? Why or why not?Interpret the implications of these findings for the model.9) Identify and interpret the t tests for each of the coefficients (oneseparate paragraph for each variable, in numerical order):Are the signs of the coefficients as expected? If not, why not?For each of the coefficients, interpret the numerical value.Using the p-value approach, is the null hypothesis for the t testrejected or not rejected for each coefficient? Why or why not?Interpret the implications of these findings for the variable.Identify the variable with the greatest significance.10) Analyze multicollinearity of the independent variables (oneparagraph):Generate the correlation matrix.Define multicollinearity.Are any of the independent variables highly correlated with eachother? If so, identify the variables and explain why they areâ¢correlated.State the implications of multicollinearity (if found) for the model.Works Cited Page12) Use the proper format to list the works cited under two headings:Research: two sourcesData: a separate citation for each of the variables used in the paper.
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