Respuesta :
Dummy variables created to include nominally scaled variables in an analysis are commonly used in a)regression analysis. So, correct option is a.
Dummy variables are usually utilized in regression analysis to address absolute factors that have multiple levels, for example, training level or occupation. For this situation, various faker factors would be made to address each level of the variable, and just a single dummy variable would take on a worth of 1 for every perception.
In regression analysis, a dummy variable (otherwise called pointer variable or simply faker) is one that takes the qualities 0 or 1 to demonstrate the nonappearance or presence of some all out impact that might be supposed to move the outcome.
For instance, assuming that we were concentrating on the connection among orientation and pay, we could utilize a dummy variable to address the orientation of every person in the review. The variable would take on a worth of 1 for guys and 0 for females.
Hence, correct option is a.
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(Complete question) is:
dummy variables created to include nominally scaled variables in an analysis are commonly used in:
a)regression analysis
b)conjoint analysis.
c)multiple discriminant analysis.
d)factor analysis
