ECOR 1010 Lecture Notes - Lecture 7: Metallurgy, Dependent And Independent Variables, Scatter Plot

• School: Carleton University
• Department: Engineering Common Core Courses
• Course: ECOR 1010
• Professor: Henry Saari

Document Summary

Ecor 1010 introduction to engineering (fall 2015) In laboratory 5, you dealt with a single variable and its measured distribution using univariate statistics. Engineering problems often involve relationships between two or more measured variables. In this laboratory we shall use bivariate statistics to test relationships between two coupled variables. One of the more useful tools to determine relationships between bivariate data is least squares regression. In this case, an equation is proposed as a possible relationship connecting the bivariate data, and this equation is tested using the method of least-squares regression. If the dependent variable depends linearly on the parameters in the equation (i. e. , the function is linear in the unknown parameters), then we can use linear least-squares regression. Linear least-squares regression is the focus of this laboratory exercise. Regression is used to test hypotheses that are expressed as mathematical expressions.