Geography 370 Quantitative Methods

Goals: The goals of this assignment are to understand how to perform regression analysis and to predict results given data from a regression output. This information will then be mapped in ArcMap Background: In order to understand this assignment, it is important to understand the basic elements of a regression analysis. Regression Analysis- A statistical tool that is used to investigate the relationships between 2 variables Regression Equation- Y= a +bx. Almost identical to the equation of a line Independent Variable = The X variable in the equation. Explains the Dependent Variable Dependent Variable= The Y value of the equation. Explained by the Independent Variable Regression Coefficient= The slope of the line,  shows responsiveness of dependent variable to change in the independent variable. Constant- The A value, or Y when X=0 Coefficient of Determination (r^2 value)= Measures, from 0 to 1, how well one variable explains another. Methods: Part 1- T...

Goals: The goal of this assignment was to become familiar with correlation and spatial autocorrelation. More specifically, the goals were as follows. Creating a scatterplot in Microsoft Excel Running a correlation using SPSS software. Interpreting Correlation from a scatterplot and SPSS outputs Using the US census site to download data and shapefiles Identify GEOIDs from census data Join Census data to other data Creating a report to connect the data Methods:  The first portion of the assignment focused on correlation. Correlation is a measurement of the relationship between variables measured on a scale from -1 to 1. Negative values indicate negative correlation, meaning as one value increases, the other decreases. Positive values indicate positive correlation, meaning as one value increases so does the other. The closer the value is to 1 or -1, the stronger the correlation is. Using data that was provided, a scatterplot was created in Microsoft Excel showing ...