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About Lecture 10 Regression Analysis
1. The document discusses linear regression analysis and its applications in engineering. Linear regression is a statistical technique used to relate a dependent variable to one or more independent variables through a best fit linear equation. 2. It introduces the concepts of dependent and independent variables, and describes how the method of least squares is used to calculate the best fit linear regression equation that minimizes the sum of the squares of the differences between observed and predicted values of the dependent variable. 3. An example problem is presented to demonstrate how linear regression analysis is performed on a dataset relating weekly fuel consumption (dependent variable) to average hourly temperature (independent variable). The regression equation calculated from the example data is provided.
Detailed Information
| Author: | ['Arshad Ali'] |
|---|---|
| Publication Year: | 2015 |
| Pages: | 20 |
| Language: | English |
| Format: | |
| Price: | FREE |
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