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postnew [5]
2 years ago
6

samuel takes 5 coolers to his basketball game each cooler holds 9 liters of water how many liters of water altogether did he tak

e to the game

Mathematics
2 answers:
madreJ [45]2 years ago
4 0
Consulting your 4th-grade times tables, you know Samuel took 5*9 = 45 liters of water to the game.


In case you forgot that math fact, you can use a calculator to reproduce it.

In case you forgot that multiplication simplifies repeated addition, you can simply add up the numbers.
.. (9 L) +(9 L) +(9 L) +(9 L) +(9 L) = 45 L

alekssr [168]2 years ago
3 0
5 times 9 equals 45. The answer is 45
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30 points for RIGHT ANSWER
juin [17]
The answer is 18 I’m pretty certain so D
8 0
2 years ago
A regional planner employed by a public university is studying the demographics of nine counties in the eastern region of an Atl
Brilliant_brown [7]

Answer:

Step-by-step explanation:

Hello!

Given the variables:

X₁: Median Age

X₂: Median Income

b) Considering it from a logical point of view, income changes with age, for example, the more experienced the worker is you would think he would get a better paying job than a younger worker who is just starting. Then the dependent variable will be the median income and the independent variable will be the median age.

a)  and c)

To see if there is a linear regression between the median income and median age you have to conduct a hypothesis test for the slope. If the slope is equal to zero, there is no linear regression between the two variables, if it is different to zero, there is a regression between the two of them:

H₀: β=0

H₁: β≠0

α: 0.05

t= \frac{b-\beta }{Sb} ~~t_{n-2}

The estimated regression equation for this regression ^Yi= 20.01 + 0.50X

The standard deviation for the slope is Sb= 0.11

t_{H_0}= \frac{0.50-0}{0.11} = 4.545

And the p-value for the test is 0.0022

The p-value is less than the level of significance I choose, so the decision is to reject the null hypothesis. You can conclude that there is a linear regression between these two variables.

The correlation coefficient between the median income and the median age is r= 0.87 ⇒ This means you could expect a positive and strong linear correlation between the two variables.

d)

The slope represents how much the variable Y is modified whenever the variable X increases one unit.

In this example: Is the modification of the population mean of the median income, when the median age increases one year.

5 0
3 years ago
Choose the system of equations that matches the following graph:
Vilka [71]

One of the lines passes through points (0, 6) and (-4, 3). Hence the equation is given by:

(y - 6)/(x - 0) = (3 - 6)/(-4 - 0)

(y - 6)/x = -3/-4 = 3/4

4(y - 6) = 3x

4y - 24 = 3x

3x - 4y = -24

The other line passes through points (0, -3) and (1, 0). Hence the equation is given by:

(y - (-3))/(x - 0) = (0 - (-3))/(1 - 0)

(y + 3)/x = (0 + 3)/1

y + 3 = 3x

3x - y = 3

Therefore, the system of equations representing the graph is:

3x - 4y = -24

3x - y = 3

Was this helpful?

4 0
2 years ago
What is the area of the shaded region?​
IRINA_888 [86]
20 because of the whole is 40 and the shaded part is by 20 you just take half of 40 and you get 20
3 0
3 years ago
I need help on this. An answer and an explanation would be great!!
charle [14.2K]

Answer:

60 & 55

Step-by-step explanation:

1. the sum of the angles 1; 2 and 3 is 180°, then

m∠1=m∠2=m∠3; ⇒m∠3=60°;

2. m∠3=m∠r; ⇒ m∠r=60°;

3. m∠α= 180-(m∠r+65°)°; ⇒ m∠α=55°

all the details are in the picture.

4 0
3 years ago
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