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vladimir2022 [97]
3 years ago
13

Simplify the numerical expression (15 - 3) x 2 + 10

Mathematics
1 answer:
Kipish [7]3 years ago
7 0

Answer:

34

Step-by-step explanation:

Using PEMDAS (parentheses, exponent, multiplication, division, addition, subtraction), we solve what's in the parentheses first, so the expression looks like: 12 x 2 +10.

Then since there aren't any exponents, we solve the multiplication problem in the expression: 24 + 10.

Which just leaves addition, which gives us our answer: 34

Hope this helps!

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What is the answer
Mrac [35]

Answer:

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Step-by-step explanation:

It is given that square EFGH stretches vertically by a factor of 2.5 with respect to the x-axis to create rectangle E′F′G′H′.

If a figure stretches vertically by a factor of 2.5 with respect to the x-axis, then the x-coordinates remains same and the points which lie on the axis are also remains the same after stretch.

It is given that the coordinates of H are (-2,0). This point lie on the x-axis, therefore it will remains the same after stretch.

Therefore the coordinates of H′ are (-2,0).

3 0
3 years ago
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Consider the population regression of log earnings [Yᵢ, where Yᵢ= ln(Earningsᵢ)] against two binary variables:
puteri [66]

Answer:

A) allows the population effect on log earnings of being married to depend on gender

Step-by-step explanation:

The regression equation of a dependent variable based on two or more independent variables is of the form:

Y=b_{0}+b_{1}X_{1} +b_{2}X_{2}+b_{3}X_{1}X_{2}

Here,

<em>Y</em> = dependent variable

X_{1} and X_{2} = independent variables

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If there is a significant interaction effect present then this implies that the effect of one independent variable (X_{1} orX_{2} ) on the dependent variable (<em>Y</em>) differs every time with different value of the other independent variable  (X_{1} orX_{2} ) .

The provided regression equation is:

Y_{i}=\beta _{0}+\beta _{1}D_{1i}+\beta_{2}D_{2i}+\beta _{3}D_{1i}D_{2i}+u_{i}

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In this case the interaction term is defined as follows:

The effect of being married on log earnings is dependent on different values of the variables D_{2i}, i.e. the gender of the i^{th}person.

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3 years ago
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ivann1987 [24]

Answer:

Step-by-step explanation:

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a = -20

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LekaFEV [45]

Answer:

x= -0.94 repeating

Step-by-step explanation:

hope this helps

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Aleksandr-060686 [28]

Answer:

A

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