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Angela Chou Has Been Asked to Investigate the Determinants of Poverty

question 29

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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. 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.     Determine the regression equation. A)  Poor (%)  = -3.81 - 0.798 Single-Families (%)  + 0.624 Unemployment Rate (%)  - 0.170 Bachelor's Degree (%)  - 0.003 High School (%)  B)  Poor (%)  = -3.81 + 0.798 Single-Families (%)  + 0.624 Unemployment Rate (%)  + 0.170 Bachelor's Degree (%)  + 0.003 High School (%)  C)  Poor (%)  = 3.81 + 0.798 Single-Families (%)  + 0.624 Unemployment Rate (%)  - 0.170 Bachelor's Degree (%)  - 0.003 High School (%)  D)  Poor (%)  = -3.81 + 0.798 Single-Families (%)  + 0.624 Unemployment Rate (%)  - 0.170 Bachelor's Degree (%)  - 0.003 High School (%)  E)  Poor (%)  = 3.81 + 0.798 Single-Families (%)  - 0.624 Unemployment Rate (%)  + 0.170 Bachelor's Degree (%)  - 0.003 High School (%)  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.     Determine the regression equation. A)  Poor (%)  = -3.81 - 0.798 Single-Families (%)  + 0.624 Unemployment Rate (%)  - 0.170 Bachelor's Degree (%)  - 0.003 High School (%)  B)  Poor (%)  = -3.81 + 0.798 Single-Families (%)  + 0.624 Unemployment Rate (%)  + 0.170 Bachelor's Degree (%)  + 0.003 High School (%)  C)  Poor (%)  = 3.81 + 0.798 Single-Families (%)  + 0.624 Unemployment Rate (%)  - 0.170 Bachelor's Degree (%)  - 0.003 High School (%)  D)  Poor (%)  = -3.81 + 0.798 Single-Families (%)  + 0.624 Unemployment Rate (%)  - 0.170 Bachelor's Degree (%)  - 0.003 High School (%)  E)  Poor (%)  = 3.81 + 0.798 Single-Families (%)  - 0.624 Unemployment Rate (%)  + 0.170 Bachelor's Degree (%)  - 0.003 High School (%)  Determine the regression equation.

Understand the challenges and limitations associated with using college students as research participants.
Appreciate the role of conceptual replications in enhancing the generalizability of research findings.
Understand the relationship between output size and the concepts of economies of scale and diseconomies of scale.
Understand the shapes of average total cost (ATC) and average variable cost (AVC) curves and their significance.

Definitions:

Standard Error

A statistical term that measures the accuracy with which a sample distribution represents a population using standard deviation.

Sample Correlation

A measure that indicates the extent to which two variables change together in a sample dataset.

Bootstrap

A statistical method used for estimating the sampling distribution of an estimator by sampling with replacement from the original data.

Bootstrap Sample

A resampling technique used in statistics where repeated samples are drawn with replacement from an original dataset.

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