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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There would be 16 trucks if there was 20 animals
3.A 4. False you can save as much as you want. 5. A.
and the rest hmm idk
Yes it would make a triangle
The equations are:
1. 2.35y = 4.70
2. k/3 = 17
3. 4 = 10w
4. 55x = 111
5. 8 = a/5
Answer:
the equations that apply are:
1. 2.35y = 4.70
3. 4 = 10w
4. 55x = 111
Step-by-step explanation:
We want to determine which if the equation we can use the division property of equality to solve.
1. 2.35y = 4.70
We can divide both sides by 2.35, so that
2.35y/2.35 = 4.70/2.35
y = 4.70/2.35
THIS WORKS
2. k/3 = 17
THIA DOESN'T WORK
3. 4 = 10w
dividing both sides by 10
4/10 = 10w/10
w = 4/10
THIS WORKS
4. 55x = 111
Divide both sides by 55
55x/55 = 111/55
x = 111/55
THIS WORKS
5. 8 = a/5
THIS DOESNT WORK
