Answer:
Step-by-step explanation:
The sum of two matrices is the sum of corresponding terms.
![\left[\begin{array}{ccc}3&1&0\\-1&2&4\\9&7&-2\end{array}\right] +\left[\begin{array}{ccc}5&2&4\\1&12&3\\11&3&-2\end{array}\right] =\left[\begin{array}{ccc}8&3&4\\0&14&7\\20&10&-4\end{array}\right]](https://tex.z-dn.net/?f=%5Cleft%5B%5Cbegin%7Barray%7D%7Bccc%7D3%261%260%5C%5C-1%262%264%5C%5C9%267%26-2%5Cend%7Barray%7D%5Cright%5D%20%2B%5Cleft%5B%5Cbegin%7Barray%7D%7Bccc%7D5%262%264%5C%5C1%2612%263%5C%5C11%263%26-2%5Cend%7Barray%7D%5Cright%5D%20%3D%5Cleft%5B%5Cbegin%7Barray%7D%7Bccc%7D8%263%264%5C%5C0%2614%267%5C%5C20%2610%26-4%5Cend%7Barray%7D%5Cright%5D)
Answer:
3.5
Step-by-step explanation:
2x + 5 = 12
-- minues five from both sides --
2x = 7
-- divide both sides by two ---
x = 3.5
<em><u>Please give brainliest. </u></em>
First add 15$ then add $1,245 all together as it says and it should give u the answer
Answer:
b) y = 289.815 when 
Step-by-step explanation:
We are given the following information in the question:

where y is the dependent variable,
are the independent variable.
The multiple regression equation is of the form:

where,
: is the intercept of the equation and is the value of dependent variable when all the independent variable are zero.
: It is the slope coefficient of the independent variable
.
: It is the slope coefficient of the independent variable
.
- The regression coefficient in multiple regression is the slope of the linear relationship between the dependent and the part of a predictor variable that is independent of all other predictor variables.
Comparing the equations, we get:

- This means holding
constant, a change of one in
is associated with a change of 0.5906 in the dependent variable.
- This means holding
constant, a change of 1 in
is associated with a change of 0.4980 in the dependent variable.
b) We have to estimate the value of y
