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anyanavicka [17]
3 years ago
6

Can someone help me pleaseeeeee​

Mathematics
1 answer:
Delvig [45]3 years ago
8 0
The answer is 27, I believe she is adding 4 as she goes up.
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Prove the following theorem indirectly. We will give you a start.
bazaltina [42]

Answer:

if a triangle had two right angles it would not be complete as to make it a triangle all corners have to meet while a 2 right angled triangle does not meet that.

i believe this is the answer

3 0
3 years ago
A shark can chase prey about 30 miles per hour. What is this rate in miles per minute?
Pavlova-9 [17]

Solution :

Give that a shark can chase prey about 30 miles per hour.

1 hour = 60 minute

by using unitary method, we will convert miles per hour into miles per minute

in 60 minutes the shark can chase the prey 30 miles

In 1 minute the shark can chase \frac{30}{60}  miles = \frac {1}{2} miles= 0.5 miles

Hence the shark can chase the prey about 0.5 miles per minute.

5 0
4 years ago
The sum of two numbers is 27 and their product is 50. Find the numbers.?<br><br>​
san4es73 [151]

Answer:

a + b = 27

=> a = 27 - b

ab = 50

So, (27 - b) x b = 50

27b - b^2 = 50

b^2 - 27b + 50 = 0

Solving, b = 25, 2

Hence,

Case 1: b = 25, a = 2

Case 2, b = 2, a = 25

5 0
3 years ago
Read 2 more answers
1. For y = 4x^2 + 9 − 5x^4 − x^3 a. Rewrite the equation in standard form: b. Identify the degree: c. Describe the end behavior:
ololo11 [35]

Answer:

9

Step-by-step explanation:

4 0
3 years ago
⦁ The data set shows the number of practice throws players in a basketball competition made and the number of free throws they m
barxatty [35]

Answer:

Kindly check explanation

Step-by-step explanation:

Given the data:

Practice throws(X) : 4 10 6 15 0 7 11

Free throws(Y) : 8 23 9 34 5 11 27

Using the online linear regression calculator :

ŷ = 2.1559X + 0.3912

2.1559 = slope

0.3912 = intercept

X = independent variable ; y = dependent variable

The Coefficient of determination (R²) = 0.9506² = 0.9036

Quadratic model : y = 0.0961x²+0.7138x+3.8031

Coefficient of determination(R²) = 0.9739² = 0.9485

Exponential model:

a*b^x

Coefficient of determination (R²) = 0.9753² = 0.9512

The exponential model fits the data best.

7 0
3 years ago
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