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2 years ago

What is the total weight in ounces of the three heaviest boxes?

Mathematics

2 answers:

kozerog [31]2 years ago

6 0

Answer:

D. 252 ounces

Step-by-step explanation:

The number line is cut in fourths. The 3 heaviest boxes are, 1 between 4 and 5 lbs, and 2 boxes between 5 and 6.

1st box: 4.75 lbs

2nd box: 5.5 lbs

3rd box: 5.5 lbs

Total lbs: 15.75 lbs

15.75 pounds= 252 ounces

Tcecarenko [31]2 years ago

4 0

D! Hope this helps :)

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stealth61 [152]

Notice the picture below
the AD line is a bisector, cutting the 36 degrees A in half,
18 and 18 degrees each half

notice the tickmarks, the triangle is an isosceles,
if those two sides are equal, so are the angles they make
down below with the base

now, the base is 8, AD is bisecting that too, to 4 and 4

now, using the Law of Sines

$\bf \textit{Law of sines}
\\ \quad \\
\cfrac{sin(\measuredangle A)}{a}=\cfrac{sin(\measuredangle B)}{b}=\cfrac{sin(\measuredangle C)}{c}\\\\
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\cfrac{sin(18^o)}{4}=\cfrac{sin(72^o)}{\overline{AD}}\implies \overline{AD}=\cfrac{4\cdot sin(72^o)}{sin(18^o)}$

keep in mind, the angles are in degrees, so, when taking the sines, make sure your calculator is in Degree mode

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2 years ago

Which arrangement shows275, 5.36, 535, and 336 in order from least to greatest?

Vadim26 [7]

Answer:

5.36,275,336,535

Step-by-step explanation:

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2 years ago

What is segment LO to Triangle LMN?

rjkz [21]

Segment LO is the median of triangle LMN

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2 years ago

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Which of the following vectors are orthogonal to (1,5)? Check all that apply

Andre45 [30]

We know that
If the scalar product of two vectors is zero, both vectors are orthogonal

A. (-2,5)
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B. (10,-2)
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C. (-1,-5)
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D. (-5,1)
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the answer is
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2 years ago

In a linear regression model, the variable that is being predicted or explained is known as _____________. It is denoted by y an

Andreyy89

Answer:

<h3>"In a linear regression model, the variable that is being predicted or explained is known as _dependent variable It is denoted by y and is often referred to as the response variable".</h3>

Step-by-step explanation:

Given that "In a linear regression model, the variable that is being predicted or explained is known as dependent variable It is denoted by y and is often referred to as the response variable".

Because linear regression models for variables are used to explain or predict the relationship between two variables.
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