Posted: May 1st, 2022

This assignment provides an opportunity to develop, evaluate, and apply

Assignment Content material
Goal
This assignment provides an opportunity to develop, consider, and apply bivariate and multivariate linear regression fashions.

Assets: Microsoft Excel®, DAT565_v3_Wk5_Data_File

Directions:
The Excel file for this assignment accommodates a database with details about the tax Assessment worth assigned to medical workplace buildings in a metropolis. The next is a listing of the variables within the database:
FloorArea: sq. ft of flooring area
Places of work: variety of workplaces within the constructing
Entrances: variety of buyer entrances
Age: age of the constructing (years)
AssessedValue: tax Assessment worth (hundreds of )
Use the info to assemble a mannequin that predicts the tax Assessment worth assigned to medical workplace buildings with particular traits.

Assemble a scatter plot in Excel with FloorArea because the impartial variable and AssessmentValue because the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the two variables?
Use Excel’s Assessment ToolPak to conduct a regression Assessment of FloorArea and AssessmentValue. Is FloorArea a big predictor of AssessmentValue?
Assemble a scatter plot in Excel with Age because the impartial variable and AssessmentValue because the dependent variable. Insert the bivariate linear regression equation and r^2 in your graph. Do you observe a linear relationship between the two variables?
Use Excel’s Assessment ToolPak to conduct a regression Assessment of Age and Assessment Worth. Is Age a big predictor of AssessmentValue?
Assemble a a number of regression mannequin.
Use Excel’s Assessment ToolPak to conduct a regression Assessment with AssessmentValue because the dependent variable and FloorArea, Places of work, Entrances, and Age as impartial variables. What’s the total match r^2? What’s the adjusted r^2?
Which predictors are thought-about vital if we work with α=zero.05? Which predictors will be eradicated?
What’s the closing mannequin if we solely use FloorArea and Places of work as predictors?
Suppose our closing mannequin is:
AssessedValue = 115.9 + zero.26 x FloorArea + 78.34 x Places of work
What wouldbe the assessed worth of a medical workplace constructing with a flooring space of 3500 sq. ft., 2 workplaces, that was constructed 15 years in the past? Is that this assessed worth according to what seems within the database?

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