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3 years ago

Use the distributive property. Simplify the expression below. 5(x - 2) =_-_

1 answer:

7 0

<h2>Hey there! </h2><h3>Formula:</h3><h3> $\bold{a(b +c)}$ </h3><h3> $\bold{a(b) + a(c)}$ </h3><h3> $\bold{= \ ab + ac}$ </h3><h3>DISTRIBUTE $\bold{5}$ within the $\bold{parentheses}$ </h3><h3> $\bold{5(x -2)}$ </h3><h3> $\bold{5(x) + 5(-2)}$ </h3><h3> $\bold{5(x)=5x}$ </h3><h3> $\bold{5(-2) = -10}$ </h3><h3>FINALLY: $\boxed{\boxed{\bold{Answer: 5x - 10}}}\checkmark$ </h3><h2>Good luck on your assignment and enjoy your day!</h2>

~ $\frak{LoveYourselfFirst:)}$

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PLEASE HELP ME!!! philip would be able to buy 15 apples if he had $2.10 more money than he has now. if he buys 12 apples, how wo

Elodia [21]

One apple cost $1.8 while the money that Philip has is $24.90

Let x represent the cost of each apple and y represent the money he has presently.

He can buy 15 apples if he had $2.10 more money than he has now, hence:

15x = y + 2.1

15x - y = 2.1 (1)

Also, if he buys 12 apples, how would have $3.30 left of the money he has now. Hence:

12x + 3.3 = y

12x - y = -3.3 (2)

Solving equations 1 and 2 gives:

x = 1.8, y = 24.9

Hence one apple cost $1.8 while the money that Philip has is $24.90

Find out more at: brainly.com/question/16763389

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4 years ago

Does anyone know the answer to this problem?

Mariana [72]

The regression equation is y = 16.585x - 639.769 and the linear correlation coefficient indicates a strong linear relationship

<h3>How to determine the regression equation?</h3>

To do this, we make use of a statistical calculator;

Using the statistical calculator, we have the following summary:

Sum of X = 554
Sum of Y = 4070
Mean X = 69.25
Mean Y = 508.75
Sum of squares (SSX) = 725.5
Sum of products (SP) = 12032.5
Correlation coefficient, r = 0.9768

The regression equation is

ŷ = bx + a

Where:

b = SP/SSX = 12032.5/725.5 = 16.58511

a = MY - bMX = 508.75 - (16.59*69.25) = -639.76912

Hence, the regression equation is y = 16.585x - 639.769

<h3>The number of cans sold at 90 degrees F</h3>

This means that"

x = 90

So, we have:

y = 16.585 * 90 - 639.769

Evaluate

y = 852.881

Approximate

y = 853

Hence, 853 cans were sold at 90 degrees F

<h3>The linear correlation coefficient</h3>

In (a), we have:

r = 0.9768

This means that the linear correlation coefficient is 0.9768

<h3>The conclusion</h3>

We have:

r = 0.9768

The above value is closer to 1 because

|r| > 0.9

i.e.

0.9768 > 0.9

Hence, the linear correlation coefficient indicates a strong linear relationship