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How do you determine whether a relationship shown in a table is a proportional relationship?
A proportional relationship is of the form y = kx where k is a constant. This can be rearranged to give: y = kx → k = y/x If the relationship in a table between to variables is a proportional one, then divide the elements of one column by the corresponding elements of the other column; if the result of each division is the same value, then the data is in a proportional relationship. If the data in the table is measured data, then the data is likely to be rounded, so the divisions also need to be rounded (to the appropriate degree).
What are the advantages and disadvantages of representing a relationship between variables in a table?
The advantage is being given a straight answer, but in a graph it doesn't give you a straight answer, because there is a possibility of data being in between the plotted points.
What word means the relationship between two sets of data?
Correlation.
Non-example of bivariat data in numbers?
Non-example of bivariate data in numbers is that with numbers that have no relationship between them.
What would get copied from one table to another to create a relationship between tables?
You would have a field of data in one table which has corresponding data in another. In at least one of the tables, depending on the type of relationship, a field would be the primary key. In the other table it would either also be the primary key or be a foreign key, meaning it is the primary key of a different table. The relationships are made by connecting the corresponding fields. They are not always copied as such. Although fields may be corresponding, it is possible to have data in one that is not in the other, though that data may be added later if needed. All relationships can be built before any data is entered into any of the tables. It is part of the design process of the database. All relationships should be defined before data goes in and even before the tables are actually created.
