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12345 [234]
3 years ago
9

-4 y over 5 equals -20

Mathematics
1 answer:
AlladinOne [14]3 years ago
8 0

y = 25 is the answer.

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Find the area of a rectangle with a width of x3 + 5x - 9 and a length of x2 + 8.
Drupady [299]

Answer:

A = x⁵ + 13x³ - 9x² + 40x - 72  

Step-by-step explanation:

The formula for the area of a rectangle is length X width, or A = lw.

Substitute the equations for the sides into the formula:

A = lw

A = (x² + 8)(x³ + 5x - 9)      <= use the distributive property

A = x⁵ + 5x³ -9x² + 8x³ + 40x - 72   <= collect like terms

A = x⁵ + 13x³ - 9x² + 40x - 72

4 0
3 years ago
The midpoint of ab is M (-1,-1).If the coordinates of A are (3,-6),what are the coordinates of B
daser333 [38]

Answer:-3,4

Step-by-step explanation:

8 0
3 years ago
Help me fast please I am really confused!!!!!!
seropon [69]

Answer:

By the way that the line is facing.

6 0
3 years ago
PLS HELP WILL AWARD BRAINLIST!!!! PLS HELP DUE Tomorrow
Serhud [2]

Answer:

72º

Step-by-step explanation:

Angles at a point = 360º

Number of wedges = 5

Angle of each wedge

= 360 ÷ 5

= 72º

3 0
3 years ago
. The estimate regression equation for a model involving two independent variables and 10 observations follows.y = 29.1270 + 0.5
beks73 [17]

Answer:

b) y = 289.815 when x_1 = 180 \text{ and } x_2 = 310

Step-by-step explanation:

We are given the following information in the question:

y = 29.1270 + 0.5906x_1 + 0.4980x_2

where y is the dependent variable,

x_1, x_2 are the independent variable.

The multiple regression equation is of the form:

y = b_0 + b_1x_1 + b_2x_2

where,

b_0: is the intercept of the equation and is the value of dependent variable when all the independent variable are zero.

b_1: It is the slope coefficient of the independent variable x_1.

b_2: It is the slope coefficient of the independent variable x_2.

  • 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:

b_1 = 0.5906\\b_2 = 0.4980

  • This means holding x_2 constant, a change of one in x_1 is associated with a change of 0.5906 in the dependent variable.
  • This means holding x_1 constant, a change of 1 in x_2 is associated with a change of 0.4980 in the dependent variable.

b) We have to estimate the value of y

y = 29.1270 + 0.5906(180) + 0.4980(310) = 289.815

3 0
3 years ago
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