Answer:
<h2>B, D, F</h2>
Step-by-step explanation:
The main purpose of EFA is to find out the relationship between variables.
- EFA is an abbreviation for exploratory factor analysis, which is used to determine the link between variables that are assessed.
- Exploratory factor analysis is a statistical tool used in multivariate statistics to find the underlying structure of a rather large set of variables. EFA is a factor analysis approach with the overriding purpose of identifying the underlying connections between measured variables.
- The common factor concept underpins EFA. Manifest variables are expressed as a function of common components, unique factors, and measurement errors in this model. Each distinct component has an effect on only one manifest variable and does not explain relationships between manifest variables. Common factors impact several manifest variables, and "factor loadings" are measurements of a common factor's influence on a manifest variable.
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Answer:
let z=3-i
|z|=square root 10 r=square root 10
Ø=-pi/6
z=sqr 10 × e^i×pi/6
z=sqr 10(cos(-pi/6) +isin(-pi/6))
2L +2W=160
100+ 2W=160
subtract 100 from each side
2W=60
divide by two each side
W=30
use the formula L×W=Area or 50×30 which equals 150 the are of the pasture is 150 feet²
The answer would be 3.5 or 7/2. If I interpreted your question correctly. Mark as brainliest?
