Suggestions to fix below mentioned flaws. 2 pages APA format
January 13, 2023
final research paper grad 699
January 13, 2023

IT

PurposeThis assignment provides an opportunity to develop, evaluate, and apply bivariate and multivariate linear regression models.Resources:Microsoft Excel®, DAT565_v3_Wk5_Data_FileInstructions:The Excel file for this assignment contains a database with information about the tax assessment value assigned to medical office buildings in a city. The following is a list of the variables in the database:FloorArea: square feet of floor spaceOffices: number of offices in the buildingEntrances: number of customer entrancesAge: age of the building (years)AssessedValue: tax assessment value (thousands of dollars)Use the data to construct a model that predicts the tax assessment value assigned to medical office buildings with specific characteristics.Construct a scatter plot in Excel with FloorArea as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?Use Excel’s Analysis ToolPak to conduct a regression analysis of FloorArea and AssessmentValue. Is FloorArea a significant predictor of AssessmentValue?Construct a scatter plot in Excel with Age as the independent variable and AssessmentValue as the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the 2 variables?Use Excel’s Analysis ToolPak to conduct a regression analysis of Age and Assessment Value. Is Age a significant predictor of AssessmentValue?Construct a multiple regression model.Use Excel’s Analysis ToolPak to conduct a regression analysis with AssessmentValue as the dependent variable and FloorArea, Offices, Entrances, and Age as independent variables. What is the overall fit r^2? What is the adjusted r^2?Which predictors are considered significant if we work with α=0.05? Which predictors can be eliminated?What is the final model if we only use FloorArea and Offices as predictors?Suppose our final model is:AssessedValue = 115.9 + 0.26 x FloorArea + 78.34 x OfficesWhat wouldbe the assessed value of a medical office building with a floor area of 3500 sq. ft., 2 offices, that was built 15 years ago? Is this assessed value consistent with what appears in the database?

 
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