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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173+32=205 , so 205 times 5 would equal 1,025 . so the answer would be 1,025 .
3x+7=-x-1
move -x to the other side
sign changes from -x to +x
3x+x+7=-x+x-1
3x+x+7=-1
4x+7=-1
move 7 to the other side
sign changes from +7 to -7
4x+7-7=-1-7
4x=-8
Divide by 4 for both sides
4x/4=-8/4
Answer: x=-2
Hello!
We know that there is a 1/2 chance of selecting either color. Let's say that the numerator represents red and the denominator represents black. We have a 1/2 chance of picking a red card overall. In this scenario, we have the event of 2/3. If we multiply these fractions we get 2/6, which is equal to 1/3.
The probability is 1/3.
I hope this helps!
Answer:
1.39/1
Step-by-step explanation:
the answer can be explained by dividing the distance covered by thebiker to the number of laps covered by the same. This gives us the ratio of distance per unti lap for the biker.
11.12 miles divided by 8 gives us= 1.39
