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Talja [164]
3 years ago
9

Help help help help help

Mathematics
1 answer:
Ne4ueva [31]3 years ago
8 0
It should be option 1
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What is 17/18 + 1/20
MrMuchimi

Answer:

179/180

Step-by-step explanation:

<em><u>Step One</u></em>

Find the prime factors of 18 and 20

18:3*3*2

20: 2 * 2 * 5

<em><u>Step Two</u></em>

You need two 2s two 3s and one 5 for the common denominator

The common denominator is 2 * 2 * 3 * 3 * 5 = 180

<em><u>Step Three</u></em>

Put the two fractions over 180

\dfrac{17*10}{10*18} + \dfrac{1*9}{10*18}

\dfrac{170}{180} + \dfrac{9}{180}

179/180

8 0
3 years ago
(this is separate)
leva [86]

Answer: 2/1

Step-by-step explanation:

3 0
3 years ago
If 4x -8y + 9 = 0 and 3y + Mx + 1 0 are parallel find the value of m
Klio2033 [76]

Step-by-step explanation:

please mark me as brainlest

8 0
2 years ago
Gente me ajudem prfvv em matemática
Tasya [4]

Answer:

Step-by-step explanation:

Trace a linha de 8cm, daí você vai dividir ela no meio, ou seja, no 4. Aí é só contar 2 cm para cada lado, que vai ser o 1, as pontas vão ser o 2. Tendeu? Daí é só marcar os pontos no -3/7(~-2,3), 1,6, 7/5(1,4), -1 e 0

6 0
2 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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