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tester [92]
3 years ago
12

An isosceles triangle has perimeter 30 cm and each of the equal sides is 12 cm.

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

Answer:

the area of the triangle is 17.4cm^2

Step-by-step explanation:

Finding the area of a triangle

an isosceles triangle has two sides of equal length.

therefore to get the base of the triangle :

we need to subtract the lengths from he perimeter

30-12-12

= 6

<u>the base of the triangle is 6 cm</u>

<u></u>

<h3><u>area of a triangle</u></h3>

formula :

\frac{1}{2} * base * height\\

<h3><u>getting the height of the triangle:</u></h3>

we make use of one side of the triangle , half the base. this creates a right angled triangle

we can make use of the formula

c^{2} = a^{2} + b^{2}

were c is the hypotenuse of 12 cm

a is the adjacent of base (6/2) = 3 cm

and b is the height

12^{2} = 3^{2} +b^{2}

b^{2} = 12^{2} - 3^{2}

b^{2} = 135\\

b = \sqrt{135}

b = 11.6 cm to 3sf

<u>the height is 11.6cm.</u>

<u></u>

<em>area of the triangle is :</em>

1/2 * 3 * 11.6

<u>= 17.4 cm^2</u>

<u />

<u>the area of the triangle is 17.4cm^2</u>

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If A(1,2), B(5,-4) and (-3,2) are the vertices of a triangle, which statement holds true?
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A triangle is a three-edged polygon with three vertices. It is a fundamental form in geometry. The correct option is A.

<h3>What is a triangle?</h3>

A triangle is a three-edged polygon with three vertices. It is a fundamental form in geometry. The sum of all the angles of a triangle is always equal to 180°.

The length of different sides are:

AB = \sqrt{(5-1)^2+(-4-2)^2} = \sqrt{16+36} = \sqrt{52}\rm\ units

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Since the length of all the sides of the triangle is not equal it is a scalene triangle.

Hence, the correct option is A.

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The line of best fit is a straight line that can be used to predict the

average daily attendance for a given admission cost.

Correct responses:

  • The equation of best fit is; \underline{ \hat Y = 1,042 - 4.9 \cdot X_i}
  • The correlation coefficient is; r ≈<u> -0.969</u>

<h3>Methods by which the line of best fit is found</h3>

The given data is presented in the following tabular format;

\begin{tabular}{|c|c|c|c|c|c|c|c|c|}Cost, (dollars), x&20&21&22&24&25&27&28&30\\Daily attendance, y&940&935&940&925&920&905&910&890\end{array}\right]

The equation of the line of best fit is given by the regression line

equation as follows;

  • \hat Y = \mathbf{b_0 + b_1 \cdot X_i}

Where;

\hat Y = Predicted value of the<em> i</em>th observation

b₀ = Estimated regression equation intercept

b₁ = The estimate of the slope regression equation

X_i = The <em>i</em>th observed value

b_1 = \mathbf{\dfrac{\sum (X - \overline X) \cdot (Y - \overline Y) }{\sum \left(X - \overline X \right)^2}}

\overline X = 24.625

\overline Y = 960.625

\mathbf{\sum(X - \overline X) \cdot (Y - \overline Y)} = -433.125

\mathbf{\sum(X - \overline X)^2} = 87.875

Therefore;

b_1 = \mathbf{\dfrac{-433.125}{87.875}} \approx -4.9289

Therefore;

  • The slope given to the nearest tenth is b₁ ≈ -4.9

b_0 = \mathbf{\dfrac{\left(\sum Y \right) \cdot \left(\sum X^2 \right) - \left(\sum X \right) \cdot \left(\sum X \cdot Y\right)} {n \cdot \left(\sum X^2\right) - \left(\sum X \right)^2}}

By using MS Excel, we have;

n = 8

∑X = 197

∑Y = 7365

∑X² = 4939

∑Y² = 6782675

∑X·Y = 180930

(∑X)² = 38809

Therefore;

b_0 = \dfrac{7365 \times 4939-197 \times 180930}{8 \times 4939 - 38809} \approx \mathbf{1041.9986}

  • The y-intercept given to the nearest tenth is b₀ ≈ 1,042

The equation of the line of best fit is therefore;

  • \underline{\hat Y = 1042 - 4.9 \cdot X_i}

The correlation coefficient is given by the formula;

\displaystyle r = \mathbf{\dfrac{\sum \left(X_i - \overline X) \cdot \left(Y - \overline Y \right)}{ \sqrt{\sum \left(X_i - \overline X \right)^2 \cdot \sum \left(Y_i - \overline Y \right)^2} }}

Where;

\sqrt{\sum \left(X - \overline X \right)^2 \times \sum \left(Y - \overline Y \right)^2}  = \mathbf{446.8121}

\sum \left(X_i - \overline X \right) \times \left(Y - \overline Y\right) = \mathbf{-433.125}

Which gives;

r = \dfrac{-433.125}{446.8121}  \approx \mathbf{-0.969367213}

The correlation coefficient given to the nearest thousandth is therefore;

  • <u>Correlation coefficient, r ≈ -0.969</u>

Learn more about regression analysis here:

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UJ 1641"
Alekssandra [29.7K]

Answer:

t

Step-by-step explanation:

7 0
2 years ago
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