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Brilliant_brown [7]
3 years ago
14

How many solutions does the equation 3(2.4x + 4) = 4.1x + 7 + 3.1x have? Explain.

Mathematics
1 answer:
VMariaS [17]3 years ago
6 0

Answer: there are no solutions

Step-by-step explanation:

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Eight plus the quotient of a number and 3 is −2
Gekata [30.6K]

Answer:

The number is -30.

Step-by-step explanation:

Given that,

Eight plus the quotient of a number and 3 is −2 . We need to find the number.

So, putting given condition into mathematical expression. Let the number is x. So,

8+\dfrac{x}{3}=-2

Subtracting  on both sides,

8+\dfrac{x}{3}-8=-2-8\\\\\dfrac{x}{3}=-10

Now cross multiplying, we get

x = -30

So, the number is -30.

3 0
4 years ago
Apply the distributive property to create an equivalent expression. 1/5(15+10k)
lara [203]
3 + 2k

This is because multiplying by 1/5 is like dividing each term by 5 
7 0
4 years ago
Read 2 more answers
Use the distributive property to remove the parentheses in the expression below. Simplify your answer as much as possible.
tigry1 [53]

Answer:4x plus 2 might be the,answer

Step-by-step explanation:

5 0
3 years ago
During a catered lunch an average of 4 cups of tea are poured per minute. This lunch will last 2 hours. How many gallons of tea
zzz [600]
4 cups are poured every minute...there are 60 minutes in 1 hr...so for 2 hrs, there is 120 minutes...at 4 per minute = 120 * 4 = 480 cups in 2 hrs

16 cups = 1 gal
480 cups = 480/16 = 30 gallons <===
4 0
3 years ago
It seems logical that restaurant chains with more units (restaurants) would have greater sales. Ca 5 n we predict sales by measu
svetoff [14.1K]

Answer:

Step-by-step explanation:

Hello!

A regression model was estimated in order to test if the number of units of a restaurant chain affecta the sales of said restaurant chains.

The estimated model is:

Y= a + bX

Where

Y: is the sales of a restaurant chain

X: number of units of a restaurant chain

Looking at the computed data, the estimated coefficients are:

a= 4.633131413

b= 0.439724072

The correct regression equation to predict Sales based on Units, according to this analysis, is..

Y= 4.63 + 0.44X

I hope it helps!

6 0
4 years ago
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