I have a dataset for 39 local authorities. Each local authority hosts at minimum one professional sports franchise. 35 out of the 39 host only one professional franchise, 3 out of the 39 local authorities host 2 professional sports franchise, and 1 of the 39 local authorities hosts 3 professional sports teams. Is there any way I can introduce binary variables to capture this, without introducing perfect multicollinearity?
I have a dataset for 39 local authorities. Each local authority hosts at minimum one professional sports franchise. 35 out of the 39 host only one professional franchise, 3 out of the 39 local authorities host 2 professional sports franchise, and 1 of the 39 local authorities hosts 3 professional sports teams. Is there any way I can introduce binary variables to capture this, without introducing perfect multicollinearity?
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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Transcribed Image Text:I have a dataset for 39 local authorities. Each local
authority hosts at minimum one professional sports
franchise. 35 out of the 39 host only one professional
franchise, 3 out of the 39 local authorities host 2
professional sports franchise, and 1 of the 39 local
authorities hosts 3 professional sports teams. Is there
any way I can introduce binary variables to capture this,
without introducing perfect multicollinearity?
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