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galina1969 [7]
3 years ago
15

What is 30% of 50 pounds?

Mathematics
2 answers:
Bond [772]3 years ago
7 0
15 pounds. the amount saved would be 15.
Morgarella [4.7K]3 years ago
3 0

Answer:

15 pounds

Step-by-step explanation:

hope that help

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When a divisor divides the dividend exactly without leaving remainder then the divisor and quotient are
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Answer:

The divisor is called a factor of the dividend.

Step-by-step explanation:

Hope this helps

(Brainliest is appreciated)

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Help please. i am desperate
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lol

Step-by-step explanation:

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Graph the system of inequalities y> 2x-3 and 3y-x≤6
Veronika [31]
Y > 2x - 3
3y - x ≤ 6
       ↓
y = 2x - 3
3y - x = 6

    3(2x - 3) - x = 6
3(2x) - 3(3) - x = 6
        6x - 9 - x = 6
        6x - x - 9 = 6
             5x - 9 = 6
             <u>    + 9 + 9</u>
                  <u>5x</u> = <u>15</u>
                   5      5
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y = 2x - 3
y = 2(3) - 3
y = 6 - 3
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(x, y) = (3, 3)
4 0
3 years ago
At a recent county fair, you observed that at one stand people's weight was forecasted, and were surprised by the accuracy (with
MatroZZZ [7]

Answer:

a)Slope: \hat \beta_1 =\frac{7625.9}{1248.9}=6.106

Intercept: \hat \beta_o = 157.955 -6.106 (69.686)=-267.548

b) r=\frac{7625.9}{\sqrt{[1248.9][94228.8]}}=0.657  

And the determination coeffecient is r^2 = 0.657^2 =0.432  

Step-by-step explanation:

Data given and definitions

The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.  

The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"    

When we conduct a multiple regression we want to know about the relationship between several independent or predictor variables and a dependent or criterion variable.  

n=110, \sum x_i y_i = \sum (X-\bar X)(Y-\bar Y) =7625.9,\sum x^2_i=\sum (x-\bar x)^2 =1248.9 , sum y^2_i=\sum(y-\bar y)^2 =94228.8  

\sum Y_i =17375 , \sum X_i = 7665.5

Part a

The slope is given by this formula:

\hat \beta_1 =\frac{\sum (x-\bar x) (y-\bar y)}{\sum (x-\bar x )^2}

If we replace we got:

\hat \beta_1 =\frac{7625.9}{1248.9}=6.106

We can find the intercept with the following formula

\hat \beta_o = \bar y -\hat \beta_1 \bar x

We can find the average for x and y like this:

\bar X=7665.5/110 =69.686, \bar y= 17375/110=157.955

And replacing we got:

\hat \beta_o = 157.955 -6.106 (69.686)=-267.548

Part b

In order to calculate the correlation coefficient we can use this formula:  

r=\frac{\sum (x-\bar x)(y-\bar y) }{\sqrt{[\sum (x-\bar x)^2][\sum(y-\bar y)^2]}}  

For our case we have this:  

n=110, \sum x_i y_i = \sum (X-\bar X)(Y-\bar Y) =7625.9,\sum x^2_i=\sum (x-\bar x)^2 =1248.9 , sum y^2_i=\sum(y-\bar y)^2 =94228.8  

So we can find the correlation coefficient replacing like this:

r=\frac{7625.9}{\sqrt{[1248.9][94228.8]}}=0.657  

And the determination coeffecient is r^2 = 0.657^2 =0.432  

6 0
3 years ago
how much does a bag of wood chips weighs 12.4 pounds how much does a bad that contains .42 as many wood chips weigh
Law Incorporation [45]

Answer:

5.208 lbs

Step-by-step explanation:

12.4 lbs times 0.42 is 5.208 lbs

it is simple

3 0
3 years ago
Read 2 more answers
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