is a collection of techniques that seek to group or segment a collection of objects or observations into subsets, such that those within each subset are more closely related to one another than objects assigned to different subsets

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is a collection of techniques that seek to group or segment a collection of objects or observations into subsets, such that those within each subset are more closely related to one another than objects assigned to different subsets

A) Association rule mining

B) Discriminant analysis

C) Cluster analysis

D) Logistic regression

The correct answer is option C) Cluster analysis .

Step-by-step explanation:

We denominate Cluster analysis to the act of matching up a group of things in such a way that each thing that makes up this group (cluster) has things in common between one and other, in some way.

This is widely used in the analysis of statistical data and in marketing.

In this type of analysis there is no prior information on the objects that will be analyzed.

The steps to follow to carry out this analysis are the following:

A problem is formulated A distance measure is selected A procedure is determined The number of clusters is determined The profile of the clusters to be analyzed is interpreted The validity of the clusters is evaluated

C- No Quincy should have used the trend line to find the corresponding x value when y=80

Step-by-step explanation:

i just did it