The relationship where one set of data increases as another set of data also increases is described as a positive correlation. In this context, the two variables move in the same direction, meaning that higher values of one variable correspond to higher values of the other. This is often referred to as being directly related or directly proportional, indicating a consistent and predictable relationship between the two sets of data.
A set of data is a set of nuumbers .
You CAN'T determine whether two numbers are proportional, just by looking at one number from each set.
No. The data set will remain the data set: they are the observations that are recorded.
35 occurs most often in the collated data set.
The relationship where one set of data increases as another set of data also increases is described as a positive correlation. In this context, the two variables move in the same direction, meaning that higher values of one variable correspond to higher values of the other. This is often referred to as being directly related or directly proportional, indicating a consistent and predictable relationship between the two sets of data.
A set of data is a set of nuumbers .
.)A graph consisting of parallel, usually vertical bars or rectangles with lengths proportional to the frequency with which specified quantities occur in a set of data. Also called bar chart
This is proportional to the intrinsic value of the data, need and method for accesing such data, and the need to keep data organized.
It is 52.
You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.You describe the shape, not of the data set, but of its density function.
You CAN'T determine whether two numbers are proportional, just by looking at one number from each set.
The median in a set of data, would be the middle item of the data string... such as: 1,2,3,4,5,6,7 the Median of this set of data would be: 4
No. The data set will remain the data set: they are the observations that are recorded.
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).
35 occurs most often in the collated data set.
the midpoint of the data set