Multiple Linear Regression Applications in Real Estate Pricing

In this paper, we attempt to predict the price of a real estate individual homes sold in North West Indiana based on the individual homes sold in 2014. The data/information is collected from realtor.com. The purpose of this paper is to predict the price of individual homes sold based on multiple regression model and also utilize SAS forecasting model and software. We also determine the factors influencing housing prices and to what extent they affect the price. Independent variables such square footage, number of bathrooms, and whether there is a finished basement,. and whether there is brick front or not and the type of home: Colonial, Contemporary or Tudor. How much does each type of home (Colonial, Contemporary, Tudor) add to the price of the real estate

Selection of Statistical Software for Solving Big Data Problems for Teaching

The need for analysts with expertise in big data software is becoming more apparent in 4 today’s society. Unfortunately, the demand for these analysts far exceeds the number 5 available. A potential way to combat this shortage is to identify the software sought by 6 employers and to align this with the software taught by universities. This paper will 7 examine multiple data analysis software – Excel add-ins, SPSS, SAS, Minitab, and R – and 8 it will outline the cost, training, statistical methods/tests/uses, and specific uses within 9 industry for each of these software. It will further explain implications for universities and 10 students (PDF

How to fight like a poet: the socially engaged poetics of anti-colonialism in Appalachia.

Colonialism has played a large and complicated part in the history of Appalachia. Upon European contact, almost all Indigenous people were violently removed from the region along with the cultural, agricultural, and linguistic traditions they cultivated in the mountains. The white colonizers who stole the lands were then economically exploited by the wealthier colonizers to the North and East. In light of the complex dynamics of language, place, and exploitation in the Appalachian Mountains, poetry shows promise as a means of linguistic resistance as well as an intellectual and archival practice that might lead to better understanding the multi-dimensional history of colonialism in the region. This analysis of socially engaged poetics is followed by a collection of poems about capitalism, ecology, exploitation, language, and archival traditions in the Appalachian region

The Short Story Technique Of Wilbur Daniel Steele

The juggernaut of Industrialism is running amok in America today – and its blind, crazed devotees are being crushed amid the clamor and the noise, the abandoned irresponsibility of a barbaric festival. Industrialism is affecting all literature, but the short story, is chiefly threatened. The magazine is its forum, and the magazine must make money or suspend. The commercialized short-story is a mirror of the times – it takes in all movements. The American short-stories form a composite picture of life in the United States. The typical short story in the past quarter-century, and particularly since the World War, as avoided usual aspects to find its interest in the common but appealing problems of the life about us

Karla tyiE-xkwaJ

Karla tyiE-xkwaJ Written by: Hilaria Cruz & Grace Ann Rogers Illustrated by: Sasha Zelenkevichhttps://ir.library.louisville.edu/chatino/1002/thumbnail.jp

A Racial Impact Analysis of HB 1075/SB 201

The economic and social consequences of untreated (or under-treated) substance abuse among minors are significant. This report provides a racial impact analysis of HB 1075/SB 201, legislation approved in the 2012 General Assembly session that seeks to improve access and use of substance and alcohol services by minors. In short, this policy could go a long way to ensure that families are properly educated about these life-changing (and life-saving) programs; however our analysis raises concerns related to cultural competency that may serve to undermine the legislation’s goal. Virginia is incredibly diverse and its communities vary widely with its assets and risks. In this vein, we offer concrete recommendations to maximize the policy’s racial equity. Our analysis also sheds light on the ongoing challenge Virginia’s state agencies have had to address cultural competency within its services. Additional research is necessary to determine what service gaps may exist, which would increase or decrease the racial equity impact. By answering these questions, Virginia will be better prepared to further reduce alcohol and substance abuse by all minors

Multiple Linear Regression Applications in Real Estate Pricing

In this paper, we attempt to predict the price of a real estate individual homes sold in North West Indiana based on the individual homes sold in 2014. The data/information is collected from realtor.com. The purpose of this paper is to predict the price of individual homes sold based on multiple regression model and also utilize SAS forecasting model and software. We also determine the factors influencing housing prices and to what extent they affect the price. Independent variables such square footage, number of bathrooms, and whether there is a finished basement,. and whether there is brick front or not and the type of home: Colonial, Contemporary or Tudor. How much does each type of home (Colonial, Contemporary, Tudor) add to the price of the real estate

Selection of Statistical Software for Solving Big Data Problems for Teaching

The need for analysts with expertise in big data software is becoming more apparent in 4 today’s society. Unfortunately, the demand for these analysts far exceeds the number 5 available. A potential way to combat this shortage is to identify the software sought by 6 employers and to align this with the software taught by universities. This paper will 7 examine multiple data analysis software – Excel add-ins, SPSS, SAS, Minitab, and R – and 8 it will outline the cost, training, statistical methods/tests/uses, and specific uses within 9 industry for each of these software. It will further explain implications for universities and 10 students (PDF