Answer:
The correlation coeffcient for this case was provided:
r =0.934
And this coefficient is very near to 1 the maximum possible value, so then we can interpret that the relationship between the entrace exam score and the grade point average are strongly linearly correlated .
We can also find the
who represent the determination coefficient and we got:

And the interpretation for this is that a linear model explains appproximately 87.2% of the variability between the two variables
Step-by-step explanation:
Previous concepts
The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.
And in order to calculate the correlation coefficient we can use this formula:
The correlation coeffcient for this case was provided:
r =0.934
And this coefficient is very near to 1 the maximum possible value, so then we can interpret that the relationship between the entrace exam score and the grade point average are strongly linearly correlated .
We can also find the
who represent the determination coefficient and we got:

And the interpretation for this is that a linear model explains appproximately 87.2% of the variability between the two variables
The answer to number 13 is141
Answer:
33
Step-by-step explanation:
True
if the lines are paralell, there is no intersection and therefor no solution
example
y=3x+4
and
y=3x+10
or
3x+2y=4 and
3x+2y=9
true
Answer:
vertical translation of 5 units in the negative y direction, followed by a vertical translation of 7 units in the negative y direction.
Step-by-step explanation:
given f(x)=6x
f(x)=6x ---> f(x)=6x - 5 (Vertical translation by 5 units in the negative y (i.e downward) direction)
f(x)=6x - 5 ---> f(x)=6x - 5 - 7 (Vertical translation by 7 units in the negative y (i.e downward) direction)
hence it is a vertical translation of 5 units in the negative y direction, followed by a vertical translation of 7 units in the negative y direction.