# Purpose This assignment provides an opportunity to develop, evaluate, and apply bivariate and multivariate linear regression models. Resources:Microsoft Excel®, DAT565_v3_Wk5_Data_File Instructions: T

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Purpose

This assignment provides an turn to enucleate, evaluate, and use bivariate and multivariate direct retreat types.

Resources:Microsoft Excel®, DAT565_v3_Wk5_Data_File

Instructions:

The Excel improve for this assignment contains a basisbase after a while notice encircling the tax tribute appraise assigned to medical service architectures in a city. The aftercited is a schedule of the mutables in the basisbase:

• FloorArea: balance feet of foundation space
• Offices: estimate of services in the architecture
• Entrances: estimate of customer entrances
• Age: age of the architecture (years)
• AssessedValue: tax tribute appraise (thousands of dollars)

Use the basis to fabricate a type that predicts the tax tribute appraise assigned to medical service architectures after a while restricted characteristics.

• Construct a plant conspire in Excel after a while FloorArea as the defiant mutable and AssessmentValue as the hanging mutable. Insert the bivariate direct retreat equation and r^2 in your graph. Do you mark a direct intercommunity betwixt the 2 mutables?
• Use Excel’s Resolution ToolPak to commence a retreat resolution of FloorArea and AssessmentValue. Is FloorArea a expressive predictor of AssessmentValue?
• Construct a plant conspire in Excel after a while Age as the defiant mutable and AssessmentValue as the hanging mutable. Insert the bivariate direct retreat equation and r^2 in your graph. Do you mark a direct intercommunity betwixt the 2 mutables?
• Use Excel’s Resolution ToolPak to commence a retreat resolution of Age and Tribute Value. Is Age a expressive predictor of AssessmentValue?

Construct a multiple retreat type.

• Use Excel’s Resolution ToolPak to commence a retreat resolution after a while AssessmentValue as the hanging mutable and FloorArea, Offices, Entrances, and Age as defiant mutables. What is the overall fit r^2? What is the adjusted r^2?
• Which predictors are considered expressive if we achievement after a while α=0.05? Which predictors can be eliminated?
• What is the conclusive type if we barely use FloorArea and Offices as predictors?
• Suppose our conclusive type is:
• AssessedValue = 115.9 0.26 x FloorArea 78.34 x Offices
• What wouldbe the assessed appraise of a medical service architecture after a while a foundation area of 3500 sq. ft., 2 services, that was built 15 years ago? Is this assessed appraise harmonious after a while what appears in the basisbase?

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