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Angela Chou Has Been Asked to Investigate the Determinants of Poverty

question 122

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Angela Chou has been asked to investigate the determinants of poverty in Ontario communities. She collected data on 60 communities from Statistics Canada. She selected the percentage of poor persons living under the poverty line [Poor (%) ], measured by Low Income Cut-Off, designed by Statistics Canada as a measure of poverty for a community, as the dependent variable. The independent variables selected are percent of single families in each community, the unemployment rate in each community, percent of population in the community holding a bachelor's degree as their highest level of education attained, and percent of population holding a High School Diploma as their highest level of education attained. Using the outputs below for this data set, determine whether Angela should use the model with the high school data included, or the data without the high school data, and why. Angela Chou has been asked to investigate the determinants of poverty in Ontario communities. She collected data on 60 communities from Statistics Canada. She selected the percentage of poor persons living under the poverty line [Poor (%) ], measured by Low Income Cut-Off, designed by Statistics Canada as a measure of poverty for a community, as the dependent variable. The independent variables selected are percent of single families in each community, the unemployment rate in each community, percent of population in the community holding a bachelor's degree as their highest level of education attained, and percent of population holding a High School Diploma as their highest level of education attained. Using the outputs below for this data set, determine whether Angela should use the model with the high school data included, or the data without the high school data, and why. A) It doesn't matter which she uses, the results are virtually the same in either case. B) Angela should use the data that includes the high school information, because more information is always better than less information. C) Angela should use the data that includes the high school information, because the calculated F value is lower. D) Angela should include the high school data because the P-value is 0.977, close to 1. E) Angela should exclude the high school data because the adjusted R-squared value is a little higher than in the data that includes the high school information. Angela Chou has been asked to investigate the determinants of poverty in Ontario communities. She collected data on 60 communities from Statistics Canada. She selected the percentage of poor persons living under the poverty line [Poor (%) ], measured by Low Income Cut-Off, designed by Statistics Canada as a measure of poverty for a community, as the dependent variable. The independent variables selected are percent of single families in each community, the unemployment rate in each community, percent of population in the community holding a bachelor's degree as their highest level of education attained, and percent of population holding a High School Diploma as their highest level of education attained. Using the outputs below for this data set, determine whether Angela should use the model with the high school data included, or the data without the high school data, and why. A) It doesn't matter which she uses, the results are virtually the same in either case. B) Angela should use the data that includes the high school information, because more information is always better than less information. C) Angela should use the data that includes the high school information, because the calculated F value is lower. D) Angela should include the high school data because the P-value is 0.977, close to 1. E) Angela should exclude the high school data because the adjusted R-squared value is a little higher than in the data that includes the high school information. Angela Chou has been asked to investigate the determinants of poverty in Ontario communities. She collected data on 60 communities from Statistics Canada. She selected the percentage of poor persons living under the poverty line [Poor (%) ], measured by Low Income Cut-Off, designed by Statistics Canada as a measure of poverty for a community, as the dependent variable. The independent variables selected are percent of single families in each community, the unemployment rate in each community, percent of population in the community holding a bachelor's degree as their highest level of education attained, and percent of population holding a High School Diploma as their highest level of education attained. Using the outputs below for this data set, determine whether Angela should use the model with the high school data included, or the data without the high school data, and why. A) It doesn't matter which she uses, the results are virtually the same in either case. B) Angela should use the data that includes the high school information, because more information is always better than less information. C) Angela should use the data that includes the high school information, because the calculated F value is lower. D) Angela should include the high school data because the P-value is 0.977, close to 1. E) Angela should exclude the high school data because the adjusted R-squared value is a little higher than in the data that includes the high school information. Angela Chou has been asked to investigate the determinants of poverty in Ontario communities. She collected data on 60 communities from Statistics Canada. She selected the percentage of poor persons living under the poverty line [Poor (%) ], measured by Low Income Cut-Off, designed by Statistics Canada as a measure of poverty for a community, as the dependent variable. The independent variables selected are percent of single families in each community, the unemployment rate in each community, percent of population in the community holding a bachelor's degree as their highest level of education attained, and percent of population holding a High School Diploma as their highest level of education attained. Using the outputs below for this data set, determine whether Angela should use the model with the high school data included, or the data without the high school data, and why. A) It doesn't matter which she uses, the results are virtually the same in either case. B) Angela should use the data that includes the high school information, because more information is always better than less information. C) Angela should use the data that includes the high school information, because the calculated F value is lower. D) Angela should include the high school data because the P-value is 0.977, close to 1. E) Angela should exclude the high school data because the adjusted R-squared value is a little higher than in the data that includes the high school information.

Definitions:

Stored

Kept or accumulated for future use, often referring to information, goods, or energy.

Internship Program

A structured work experience program, often related to a student's field of study, that offers practical experience and professional exposure.

Vicarious Learning

The process of learning new behaviors by observing the actions of others and the outcomes of those actions, without direct experience.

Fully-Trained Employees

Workers who have completed all required training and possess the skills and knowledge necessary to perform their jobs effectively.

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