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You have collected data on individuals and their attributes. Consequently you have generated several binary variables, which take on a value of "1" if the individual has that characteristic and are "0" otherwise. One example is the binary variable DMarr which is "1" for married individuals and "0" for non-married variables. If you run the following regression:
ahei= β0 + β1×educi + β2×DMarri + ui
a. What is the interpretation for β2?
b. You are interested in directly observing the effect that being non-married ("single")has on earnings, controlling for years of education. Instead of recording all observations such that they are "1" for a not married individual and "0" for a married person, how can you generate such a variable (DSingle)through a simple command in your regression program?
Mineralized Bone
Bone tissue that has undergone the process of mineralization, where minerals such as calcium phosphate strengthen the bone matrix, providing rigidity and support to the skeletal structure.
Osteoblasts
Cells responsible for bone formation, secreting the matrix for bone that is then mineralized.
Proteoglycans
Large molecules found in the extracellular matrix of animal tissues, composed of protein and glycosaminoglycan chains, involved in holding cells together and providing cushioning.
Skeletal System
The framework of bones and cartilage that supports and protects the body, allows for movement, and produces blood cells.
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