Assignment Content material
\nGoal
\nThis assignment provides an opportunity to develop, consider, and apply bivariate and multivariate linear regression fashions.<\/p>\n
Assets: Microsoft Excel\u00ae, DAT565_v3_Wk5_Data_File<\/p>\n
Directions:
\nThe 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:
\nFloorArea: sq. ft of flooring area
\nPlaces of work: variety of workplaces within the constructing
\nEntrances: variety of buyer entrances
\nAge: age of the constructing (years)
\nAssessedValue: tax Assessment worth (hundreds of )
\nUse the info to assemble a mannequin that predicts the tax Assessment worth assigned to medical workplace buildings with particular traits.<\/p>\n
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?
\nUse Excel\u2019s Assessment ToolPak to conduct a regression Assessment of FloorArea and AssessmentValue. Is FloorArea a big predictor of AssessmentValue?
\nAssemble 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?
\nUse Excel\u2019s Assessment ToolPak to conduct a regression Assessment of Age and Assessment Worth. Is Age a big predictor of AssessmentValue?
\nAssemble a a number of regression mannequin.
\nUse Excel\u2019s 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?
\nWhich predictors are thought-about vital if we work with \u03b1=zero.05? Which predictors will be eradicated?
\nWhat’s the closing mannequin if we solely use FloorArea and Places of work as predictors?
\nSuppose our closing mannequin is:
\nAssessedValue = 115.9 + zero.26 x FloorArea + 78.34 x Places of work
\nWhat 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?<\/p>\n
—-<\/p>\n","protected":false},"excerpt":{"rendered":"
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