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Stolb23 [73]
3 years ago
13

HELP! Simplify: -6 (5/3x+4) A) -10x-24. B) -10x-24. C) -10x+4. D) -10x-4.

Mathematics
2 answers:
Rzqust [24]3 years ago
8 0

Answer:

\large\boxed{-6\left(\dfrac{5}{3}x+4\right)=-10x-24}

Step-by-step explanation:

-6\left(\dfrac{5}{3}x+4\right)\qquad\text{use the distributive property}\ a(b+c)=ab+ac\\\\=-6\!\!\!\!\diagup^2\cdot\dfrac{5}{3\!\!\!\!\diagup_1}x+(-6)\cdot4\\\\=-10x-24

pashok25 [27]3 years ago
6 0

Answer:

D) -10x-4

Step-by-step explanation:

−6(5/3x+4)

=(−6)(5/3x+4)

=(−6)(5/3x)+(−6)(4)

=−10x−24

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PLEASE HELP URGENT!! DONT LINK FILES!!! HELP!!
Tomtit [17]

Answer:

Base = 8

Step-by-step explanation:

Area of a triangle can be calculated as:

Area = 0.5 x Base x Height

The values of the area and the height are given in order to find the length.

A= 52 in^2

Height= 13

First we have to find the base or the length. Using the values above we can set up the equation as:

1. 52= (0.5)(13)(b)

2. 52/0.5(13)

3. b=8

Answer: The length of the guitar or the base would be 8 inches.

I hope this helps and for future problems regarding this topic use the formula above!!

Formula: 0.5 x Base x Height

4 0
2 years ago
In a study relating the degree of warping, in mm, of a copper plate (y) to temperature in °C (x), the following summary statisti
kipiarov [429]

Answer:

The error sum of squares is SSE=12.97

The regression sum of squares is SSR=6.430

The total sum of squares is SST=19.4

Step-by-step explanation:

Linear regression is a way "to modeling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables)".

Regression estimates are "used to describe data and to explain the relationship between one dependent variable and one or more independent variables"

The linear model is given by the following equation Y=mx +b, where y is the dependent variable, x the independent variable, m the slope and b the intercept.

For this case we have the following info given:

\sum_{i=1}^n (x_i -\bar x)^2 =98775

\sum_{i=1}^n (y_i -\bar y)^2 =19.4

\bar x =26.36

\bar y =0.5188

n= 40  represent the sample size

\sum_{i=1}^n (x_i -\bar x)(y_i -\bar y) =796.94

The total sum of squares is given by this formula:

SST= \sum_{i=1}^n (y_i -\bar y)^2 =19.4

And from the formulas for a simple regression, we need to calculate the slope for the regression like this:

m=\frac{\sum_{i=1}^n (x_i -\bar x)(y_i -\bar y)}{\sum_{i=1}^n (x_i -\bar x)^2}

And if we replace the values given we have:

m=\frac{796.94}{98775}=0.008068

We have another useful equation in order to find the sum of squares for the regression, given by:

SSR=m* \sum_{i=1}^n (x_i -\bar x)(y_i -\bar y)=0.008068*796.94=6.430

And we know this equivalence:

SST= SSR+SSE

And solving for the sum of squares for the error we have:

SSE=SST-SSR=19.4-6.430=12.97

So then we have the final solutions:

The error sum of squares is SSE=12.97

The regression sum of squares is SSR=6.430

The total sum of squares is SST=19.4

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3 years ago
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Answer:

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Firdavs [7]

Answer:

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Step-by-step explanation:

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2 years ago
Y-17= -37 what is the answer
LenaWriter [7]

Answer:

y = -20

Step-by-step explanation:

Move all terms not containing y to the right side of the equation.


Therefore, that is how you got your answer: y = -20

8 0
3 years ago
Read 2 more answers
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