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Retrived December 03, 2014 Fromhttp://Behavior. HtmlOpen Science Journal OSJ is multidisciplinary Open Access journal. We accept scientifically rigorous analysis, regardless of novelty. OSJ broad scope adds spss help platform spss submit customary research in all areas of sciences, adding interdisciplinary and replication reports in addition to negative results. Regression Analysis: Real Estatee Sales Prices and Distance spss CityThis regression evaluation seeks spss answer spss query of how spss sales price of Real Estate listed houses adjustments with spss distance from spss city. Does spss sales price increase or shrink as spss distance from spss city raises or is there spss help relationship between spss variables at all?Given spss appeal of city living and spss typical trends of suburban house prices, it seems cost effective spss hypothesize that spss sales price of spss houses will decrease as spss region of spss house moves further clear of spss city. Raw Data from Real Estate Listings:Key: Distance is measured in miles and Sales Price in thousands of dollars. The regression line, which best illustrates spss relationship among spss two variables of spss data set, takes spss equation ?This equation is in line with spss least squares Its name tells us spss criterion used spss select spss best fitting line, namely that spss sum of spss squares of spss residuals may be least. In other words, spss least squares regression equation is spss line for which spss sum of squared residuals is spss help minimal Dallal, 2008. Multiple regression spss common goal of diverse is spss learn more about spss dating among several impartial variables and spss help dependent variable. For instance, spss help real estate agent might record for each listing spss size of spss house in square feet, spss number of bedrooms, spss average income in spss respective vicinity, and spss help subjective rating of appeal of spss house.