Data

  Purpose  This appointment provides an befalling to develop, evaluate, and administer bivariate and multivariate beeline corruption models. Resources: Microsoft Excel®, DAT565_v3_Wk5_Data_File Instructions:  The Excel book for this appointment contains a database with advice about the tax appraisal amount assigned to medical appointment barrio in a city. The afterward is a account of the variables in the database: FloorArea: aboveboard anxiety of attic space Offices: cardinal of offices in the building Entrances: cardinal of chump entrances Age: age of the architecture (years) AssessedValue: tax appraisal amount (thousands of dollars) Use the abstracts to assemble a archetypal that predicts the tax appraisal amount assigned to medical appointment barrio with specific characteristics. Construct a besprinkle artifice in Excel with FloorArea as the absolute capricious and AssessmentValue as the abased variable. Insert the bivariate beeline corruption blueprint and r^2 in your graph. Do you beam a beeline accord amid the 2 variables? Use Excel’s Assay ToolPak to conduct a corruption assay of FloorArea and AssessmentValue. Is FloorArea a cogent augur of AssessmentValue? Construct a besprinkle artifice in Excel with Age as the absolute capricious and AssessmentValue as the abased variable. Insert the bivariate beeline corruption blueprint and r^2 in your graph. Do you beam a beeline accord amid the 2 variables? Use Excel’s Assay ToolPak to conduct a corruption assay of Age and Appraisal Value. Is Age a cogent augur of AssessmentValue? Construct a assorted corruption model. Use Excel’s Assay ToolPak to conduct a corruption assay with AssessmentValue as the abased capricious and FloorArea, Offices, Entrances, and Age as absolute variables. What is the all-embracing fit r^2? What is the adapted r^2? Which predictors are advised cogent if we assignment with α=0.05? Which predictors can be eliminated? What is the final archetypal if we alone use FloorArea and Offices as predictors? Suppose our final archetypal is: AssessedValue = 115.9 + 0.26 x FloorArea + 78.34 x Offices What wouldbe the adjourned amount of a medical appointment architecture with a attic breadth of 3500 sq. ft., 2 offices, that was congenital 15 years ago? Is this adjourned amount constant with what appears in the database?

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