The GPA for the following on the scale of 4 GPA are; 88.69% -3.3, 87.15% - 3.3, 75.35% - 2.0 , 67.78% - 1.3, 63.14% - 1.0, 51.44% - 0.0
<h3>What is GPA?</h3>
The Term GPA is a combined GPA or grade point average of all grades you have earned in a semester or term.
The Cumulative GPA is the overall GPA or grade point average of all cumulative GPA's that are earned in all semesters and all the courses in an academic term.
The GPA is total of averaged per semester; while the cumulative GPA is the total of all grades for all semesters That is; the difference between GPA and cumulative GPA.
The GPA for the following on the scale of 4 GPA are;
88.69% -3.3
87.15% - 3.3
75.35% - 2.0
67.78% - 1.3
63.14% - 1.0
51.44% - 0.0
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Answer:
18
Step-by-step explanation:
this is the answer trust me .):
Answer:
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Step-by-step explanation:
Answer:
Step-by-step explanation:
A function satisfying the equation 
is said to be an even function. This denomination comes from the fact that the same relation is satisfied for functions of the form 
with 
even. Observe that if 
is twice differentiable we can derivate using the chaing rule as follows:
implies 
Applying the chain rule again we have:
implies 
So we have that function 
is also an even function.
For the levels of qualitative, the variable called dummy variables is used in the multiple regression method.
According to the statement
we have given that the by which method we use the different levels of a qualitative independent variable and we have to explain about it.
So, For his purpose, we know that the
A dummy variable is a variable that takes values of 0 and 1, where the values indicate the presence or absence of something.
And in the multiple regression method there are a lot of different variables which are used for a qualitative and for this a variable is used which is called the dummy variables.
By this variables we show the analysis between the given data. it gives the output in the 0 and 1 numbers.
So, For the levels of qualitative, the variable called dummy variables is used in the multiple regression method.
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