Data that can be modeled as dimension attributes and measure attributes are called <u>_Multi-dimensional__</u> data.
Multi-dimensional data are the data that can be modeled as dimension and measure attributes. It is a data set that has many columns, which is also known as features or attributes. The more features or attributes in the mult-dimensional data set can help you to discover more insights. In the multi-dimensional data, you can integrate queries instead of submitting the queries as in the relational database.
In the multi-dimensional data set you can manipulate different perspective and dimension by features or attributes. Multi-dimensional data modeling can dig deeper for deriving insights than the two-dimensional relational data set. It can view the data in the form of a data cube. Data cube can be modeled and viewed as in multiple dimensions.
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Voluntary exchange, or the law against stealing. A voluntary exchange is one of the hallmarks of a free market. Stealing is the taking of goods against another's will, or involuntarily.
Answer:
Portfolio return = 7.3%
Explanation:
<em>The portfolio expected rate of return would be the weighted average expected rate of return</em>
Weighted average expected rate of return=
12%× (1000/(3500+1000) + (3,500/(1000+3500)× 6%= 0.073333333
Expected rate of return = 0.073333333
× 100 = 7.3%
Portfolio return = 7.3%
If he must pay the dues. Hanson has a(n) <u>agency </u>shop.
<h3>What is agency shop?</h3>
An agency shop can be defined as a shop in which the employer may decide to recruit a person that is member of the union or a person that is not part of the union.
In this agency shop it is not mandatory for an employee which not member of the union to join the union but the employee must always pay the dues.
Therefore Hanson has a(n) <u>agency </u>shop.
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