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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Current demographic trends show that the number of dependents that people choose to have is <u>Decreasing</u>.
<h3>What is the trend in dependants?</h3>
A general trend that has been noticed in recent years is that people are choosing to have less dependants such as children.
The top reasons for this include more education and increased economic hardship.
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The pound will appreciate.
An appreciation means a growth in the cost of a currency in opposition to different foreign forex. An appreciation makes exports extra steeply priced and imports less expensive. An instance of an appreciation in the value of the Pound 2009 – 2012. Jan 2009 If £1 = €1.1.
Foreign money appreciation commonly reduces inflation due to the fact imports come to be inexpensive and the decreased prices lead to decreasing inflation. It makes imports extra appealing, causing the demand for neighborhood merchandise to fall. neighborhood organizations generally must reduce fees and boom productiveness as a way to stay competitive.
In 2021-22, the GBP-USD trade charge is forecast to understand with the aid of four.6%, with £1 returning US$1.3679 on common during the 12 months. on the time of guide, the BoE day-by-day spot exchange charge was £1 same to US$1.3404 on 02 March 2022.
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Parametric estimation is a techniques that uses a statistical relationship to calculate cost or duration based on historical data and other project parameters
Parametric estimation is a quantitative method (statisitical relationship) used to estimate the project cost, resources, and duration based on historical data and other project parameters.
Parametric estimation models are used when:
- There is precedent
- The model is a unit hence can be scaled up
- The parameters required are easily quantifiable
While the other options of this question is incorrect because:
b. grass roots estimating
Cost estimation done by the individuals who will be performing the task being estimated.
c. empirical estimating
Estimation method in which the data is obtained using empirical formulas. It is usually based on an amalgamation of historical data, assumptions, guesses, and personal experience.
d. analogous estimating
Also called top-down estimating, this is a technique that involves comparing previous projects, personal experiences and cursory cross-referencing observed costs to estimate time resources required. This technique is most useful in the absence of quantifiable data.
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Answer:
false
there is no ownership atribution between siblings, cousins, or a mother-in-law and son-in-law
