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Learn to test for heteroscedasticity in Stata with data from the Canadian Fuel Consumption Report (2015) /

This dataset is designed for teaching the test for heteroscedasticity following a linear regression analysis. The dataset is a subset of data derived from the 2015 Fuel Consumption Report from Natural Resources Canada. The example estimates a simple regression model of whether the size of an automob...

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Bibliographic Details
Main Authors: Reid, Abigail-Kate (Author), Allum, Nick (Author)
Corporate Author: Howard W. Odum Institute for Research in Social Science (Author)
Format: eBook
Language:English
Published: London : SAGE Publications, Ltd., 2019.
Subjects:
Stata.
Canada. > Natural Resources Canada.
Canada. > Natural Resources Canada
Stata
Heteroscedasticity > Study and teaching.
Regression analysis.
Automobiles > Motors.
Regression Analysis
Analyse de régression.
Automobiles > Moteurs.
Automobiles > Motors
Regression analysis
Online Access:Connect to the full text of the electronic book
Description
Summary:This dataset is designed for teaching the test for heteroscedasticity following a linear regression analysis. The dataset is a subset of data derived from the 2015 Fuel Consumption Report from Natural Resources Canada. The example estimates a simple regression model of whether the size of an automobile's engine predicts the highway fuel consumption of that automobile. After performing the regression, it shows how to examine the results for evidence of heteroscedasticity. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Stata. The Student Guide and data curation were done by the Odum Institute, and the How-to Guide was co-authored by Abigail-Kate Reid and Nick Allum.
Physical Description:1 online resource : illustrations
ISBN:9781526472601
1526472600