Multiple Choice
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, and percent of population in the community holding a
Bachelor's degree 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 (%)
B) Poor (%) = -3.88 + 0.798 Single-Families (%) + 0.625 Unemployment Rate (%) - 0.170 Bachelor's Degree (%)
C) Poor (%) = 3.88 + 0.798 Single-Families (%) + 0.625 Unemployment Rate (%) - 0.170 Bachelor's Degree (%)
D) Poor (%) = -3.88 - 0.798 Single-Families (%) - 0.625 Unemployment Rate (%) - 0.170 Bachelor's Degree (%)
E) Poor (%) = 3.88 + 0.798 Single-Families (%) + 0.625 Unemployment Rate (%) + 0.170 Bachelor's Degree (%)
Correct Answer:

Verified
Correct Answer:
Verified
Q10: Which variable in the model is the
Q11: The following summary is from home heating
Q12: The best example of an alternate hypothesis
Q13: The information below is from the multiple
Q16: Hypotheses concerning individual regression coefficients are tested
Q17: In a multiple regression analysis, the following
Q18: What is the effect on salary for
Q19: A sample of General Mills employees was
Q20: The following graph is used to evaluate
Q42: What is the range of values for