Multidimensional scaling summarizes data about associations ...

[tingc95]

Multidimensional scaling summarizes data about associations between a fixed set of objects by determining the minimum dimensionality required to represent the objects' interrelationships and the position of each object on each dimension.
 
 Indicate whether the statement is true or false

Question 2

Which of the following is the standard form for reporting observed correlations among multiple variables?
 a. correlation matrix
  b. contingency table
  c. Pearson grid
  d. inverse table

[Joy Chen]

Answer to Question 1

T
Multidimensional scaling summarizes data about associations between a fixed set of objects to reveal relationships between them. It does this by determining two things: (1) the minimum dimensionality (e.g., 2-D, 3-D) required to represent the objects' interrelationships well, and (2) the position of each object on each dimension (i.e., its location in the map).

Answer to Question 2

A

[tingc95]

Thanks for the timely response, appreciate it

[frankwu0507]

Great answer, keep it coming