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Ipatiy [6.2K]
3 years ago
14

Whats the perimeter

Mathematics
2 answers:
kotykmax [81]3 years ago
5 0
It the outside of a figure
OLEGan [10]3 years ago
5 0
You have to add the 2 sides of length and 2 sides of the width together 
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Which of the following expressions can be factored to 2?
Ber [7]

Answer:

Correct answer is A.

Step-by-step explanation:

2x∧3 + 5x∧2 + 6x + 15 = x∧2 (2x+5) + 3 (2x+5) = (2x+5) 0 (x∧2+3)

God with you!!!

6 0
3 years ago
Read 2 more answers
Complete the following equation: a2 = b2 + c2 - ______.
Dima020 [189]

Answer:

2 bc cos A

Step-by-step explanation:

Cosine rule

8 0
3 years ago
If $1000 is invested at 8% interest, compounded annually, then after n years the investment is worthan = 1000(1.08)ndollars.(a)
Luba_88 [7]

Answer:

Diverge

Step-by-step explanation:

(a)

1st year: 1000 * 1.08^1 = \$1080

2nd year: 1000 * 1.08^2 = \$1166.4

3rd year: 1000 * 1.08^3 = \$1259.71

4th year: 1000 * 1.08^4 = \$1360.49

5th year: 1000 * 1.08^5 = \$1469.33

(b) The sequence is divergent, because if we take the derivative of the function with respect to n year:

(1000*1.08^n)^{'} = 1000ln(n)*1.08^n

This is a positive, meaning the slope of the function is positive. If we take the second derivative using product rule

(1000ln(n)*1.08^n)^{'} = 1000\frac{ln(n)}{n}1.08^n

This is also positive when n > 0. Therefore, the slope is positive and increasing. This means the sequence diverges.

5 0
3 years ago
Select the statement that describes the following expression 6 x (2 + 7) − 9. (4 points)
stiv31 [10]

Answer:

Add all of them together

Step-by-step explanation:

You have to add the numbers and that gives you the sum

8 0
3 years ago
The least-squares regression line is_____________. A. the line that passes through the most data points.B. the line that makes t
Elanso [62]

Answer:

<h3>The option B) is correct.</h3><h3>That is the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible is correct answer</h3>

Step-by-step explanation:

Given that " The least-squares regression line "

The least-squares regression line is <u>the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible.</u>

Therefore option B) is correct

3 0
3 years ago
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