Please help extra points and Mark brainless

Grandma Gertrude gave 13 pieces of jewelry and grandma Fien gave y pieces of jewelry to the Carlson sisters to divide evenly amo

Papessa [141]

Answer:

$x=\frac{13+y}{5}$

Step-by-step explanation:

Grandma Gertrude gives 13 and Fien gives y.

$x=13+y$

The total amount of jewelry divided evenly between the 5 sisters:

$x=\frac{13+y}{5}$

Nothing further can be done without knowing another value.

4 0

3 years ago

Find the complement of the set given that

iris [78.8K]

Answer:

A ' = {-2,-1,0,1, 4,7}

Step-by-step explanation:

Here, the Universal set U is given as:

U = {x | x is in I and −3 ≤ x ≤ 7}

⇒ U = { -3,-2,-1,0,1,2,3,4,5,6,7}

Now given: A = {−3, 2, 3, 5, 6}

Compliment A set of any set A is the set of all the elements which is in the universal set U but NOT in A.

So, here the set of elements which are in U but not in A is

A ' = {-2,-1,0,1, 4,7}

So here the elements in the compliment of the given set -2,-1,0,1,4,7

4 0

3 years ago

If a2 -2ab + b2 = 9 and a

inessss [21]

If a2 -2ab + b2 = 9 and a $\begin{gathered} a^2-2ab+b^2=9 \\ aStep 1 factorize[tex]\begin{gathered} a^2-2ab+b^2=(a-b)^2 \\ \end{gathered}$

then

[tex]\begin{gathered} (a-b)^2=9 \\ \sqrt{(a-b)^2}=\sqrt{9} \\ a-b=\pm3 \\ \\ aa-b=-3

6 0

1 year ago

A set of bivariate data was used to create a least squares regression line. Which of the following is minimized by the line

77julia77 [94]

Answer:

B) The sum of the squared residuals

Step-by-step explanation:

Least Square Regression Line is drawn through a bivariate data(Data in two variables) plotted on a graph to explain the relation between the explanatory variable(x) and the response variable(y).

Not all the points will lie on the Least Square Regression Line in all cases. Some points will be above line and some points will be below the line. The vertical distance between the points and the line is known as residual. Since, some points are above the line and some are below, the sum of residuals is always zero for a Least Square Regression Line.

Since, we want to minimize the overall error(residual) so that our line is as close to the points as possible, considering the sum of residuals wont be helpful as it will always be zero. So we square the residuals first and them sum them. This always gives a positive value. The Least Square Regression Line minimizes this sum of residuals and the result is a line of Best Fit for the bivariate data.

Therefore, option B gives the correct answer.

5 0

3 years ago

Read 2 more answers

Which of the following is the equation of a line parallel to the line y = -x + 1, passing through the point (4,1)?

vodomira [7]

The equation is y=-x+5

4 0

3 years ago

Read 2 more answers