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11Alexandr11 [23.1K]
3 years ago
10

The lengths of the diagonals of a rhombus are 4x and 6x. What expressions give the perimeter and area of the rhombus? PLEASE HEL

P

Mathematics
1 answer:
Lilit [14]3 years ago
6 0

Answer:

Area = 12x²

Perimeter = 4x√13

Step-by-step explanation:

Formula to be used for the area of a rhombus,

Area = \frac{1}{2}(\text{Diagonal 1)}(\text{Diagonal 2})

        = \frac{1}{2}(4x)(6x)

        = 12x^2

Since, diagonals of a rhombus bisect each other at 90°.

OD = \frac{1}{2}(BD)

      = \frac{1}{2}(4x)

      = 2x

AO = \frac{1}{2}(AC)

      = \frac{1}{2}(6x)

      = 3x

By using Pythagoras theorem in ΔAOD,

AD² = AO² + DO²

AD² = (2x)² + (3x)²

AD² = 13x²

AD = x√13

Perimeter of a rhombus = 4(Side)

                                        = 4(x√13)

                                        = 4x√13

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When conducting an observational study, it is important to choose a topic, select a variable, create a hypothesis, collect the d
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A regression was run to determine if there is a relationship between the happiness index (y) and life expectancy in years of a g
Natasha2012 [34]

Answer:

(A) y=-0.762+0.119x

(B) If a country increases its life expectancy, the happiness index will increase.

(C) If the life expectancy is increased by 3.5 years in a certain country, the happiness index will increase by 0.4165.

(D) If the life expectancy is 67 years in a certain country, the happiness index will be 7.21.

Step-by-step explanation:

A regression analysis was performed to determine if there is a relationship between the happiness index (y) and life expectancy in years of a given country (x).

The output of the regression analysis are as follows:

a = -0.762

b = 0.119

r² = 0.8649

r = 0.93

(A)

The equation of the Least Squares Regression line of the form y = _ + _ x is:

y=-0.762+0.119x

(B)

The correction between the variables happiness index (y) and life expectancy in years of a given country (x) is, 0.93.

The correlation coefficient is positive. This implies that there is a positive relation between the two variables, i.e. as the value of life expectancy in years increases the happiness index also increases.

Thus, if a country increases its life expectancy, the happiness index will increase.

(C)

Compute the value of y for x = x + 3.5 as follows:

y=-0.762+0.119x

  =-0.762+0.119\times (x+3.5)\\\\=(-0.762+0.119x)+0.4165\\\\=y+0.4165

Thus, if the life expectancy is increased by 3.5 years in a certain country, the happiness index will increase by 0.4165.

(D)

Compute the value of y for x = 67 as follows:

y=-0.762+0.119x

  =-0.762+0.119\times 67\\\\=-0.762+7.973\\\\=7.211\\\\\approx 7.21

Thus, if the life expectancy is 67 years in a certain country, the happiness index will be 7.21.

6 0
4 years ago
Which expressions are equivalent to the one below check that all apply 25^x/5^x
madreJ [45]
C and D apply to your expression.
7 0
3 years ago
Read 2 more answers
Leveled
Marat540 [252]

Answer:

  48.6

Step-by-step explanation:

Put the values in place of the variables and simplify according to the Order of Operations in the usual way.

  10.2x +9.4y

  = 10.2(2) +9.4(3) . . . . . 2 is substituted for x; 3 is substituted for y

  = 20.4 +28.2

  = 48.6

8 0
2 years ago
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