You can substitute a number in for x and compare the answer choices (not the most efficient way but it's how I would do it). Let's just say x = 5. Then the expression would equal 0.25819889. Substitute 5 in for x is the answer choices and see which one is the same.
A) simplified is 0.004 repeating
B) simplified is 0.25819889
C) simplified is 0.12
D) simplified is 1.341640786
We can see that B is the right answer
The correct answers are :
x + y = -1
x + 4y = 0
8x - 3y = 20
Answer:
6 1/12
Step-by-step explanation:
Make 1/3 and 3/4 have the same denominator.
1/3 times 4/4 is 4/12
3/4 times 3/3 is 9/12
4/12 + 9/12 = 13/12 = 1 1/12
1 1/12 +5 = 6 1/12
ANSWER
The correct answer is
21.5 square centimeters
EXPLANATION
The shaded area is the area of the square minus the area of the Circle.
Area of shaded region

From the diagram,

and

This implies that,
Area of shaded region



Answer:

And the expected value for
a vector of zeros and the covariance matrix is given by:

So we can see that the error terms not have a variance of 0. We can't assume that the errors are assumed to have an increasing mean, and we other property is that the errors are assumed independent and following a normal distribution so then the best option for this case would be:
The regression model assumes the errors are normally distributed.
Step-by-step explanation:
Assuming that we have n observations from a dependent variable Y , given by 
And for each observation of Y we have an independent variable X, given by 
We can write a linear model on this way:

Where
i a matrix for the error random variables, and for this case we can find the error ter like this:

And the expected value for
a vector of zeros and the covariance matrix is given by:

So we can see that the error terms not have a variance of 0. We can't assume that the errors are assumed to have an increasing mean, and we other property is that the errors are assumed independent and following a normal distribution so then the best option for this case would be:
The regression model assumes the errors are normally distributed.