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Citrus2011 [14]
3 years ago
5

Distribute and simplify the following: (5m + 6)(m – 7) (5m + 6)(m – 7) =

Mathematics
1 answer:
Elenna [48]3 years ago
8 0

Step-by-step explanation:

=((5m+6)(m−7)(5m+6))(m)+((5m+6)(m−7)(5m+6))(−7)

=25m4−115m3−384m2−252m−175m3+805m2+2688m+1764

=25m4−290m3+421m2+2436m+1764

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Modern medical practice tells us not to encourage babies to become too fat. Is there a positive correlation between the weight x
Anna11 [10]

Answer:

a) Figure attached

b) y=1.31 x +98.57

c) The correlation coefficient would be r =0.47719

d) y=1.31 x +98.57=1.31*21 + 98.57 =126.08

Step-by-step explanation:

(a) Draw a scatter diagram for the data.

See the figure attached

(b) Find x, y, b, and the equation of the least-squares line. (Round your answers to three decimal places.) x =__ y =__ b =__ y =__ + __x

m=\frac{S_{xy}}{S_{xx}}

Where:

S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}{n}

S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}

With these we can find the sums:

S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}=6576-\frac{300^2}{14}=147.429

S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i){n}}=38186-\frac{300*1773}{14}=193.143

And the slope would be:

m=\frac{193.143}{147.429}=1.31

Nowe we can find the means for x and y like this:

\bar x= \frac{\sum x_i}{n}=\frac{300}{14}=21.429

\bar y= \frac{\sum y_i}{n}=\frac{1773}{14}=126.643

And we can find the intercept using this:

b=\bar y -m \bar x=126.643-(1.31*21.429)=98.571

So the line would be given by:

y=1.31 x +98.57

(c) Find the sample correlation coefficient r and the coefficient of determination r?2. (Round your answers to three decimal places.)

n=14 \sum x = 300, \sum y = 1773, \sum xy=38186, \sum x^2 =6576, \sum y^2 =225649  

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

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

r=\frac{14(38186)-(300)(1773)}{\sqrt{[14(6576) -(300)^2][14(225649) -(1773)^2]}}=0.9534

So then the correlation coefficient would be r =0.47719

What percentage of variation in y is explained by the least-squares model? (Round your answer to one decimal place.)

The % of variation is given by the determination coefficient given by r^2 and on this case 0.47719^2 =0.2277, so then the % of variation explaines is 22.8%.

(d) If a female baby weighs 21 pounds at 1 year, what do you predict she will weigh at 30 years of age? (Round your answer to two decimal places.) ___ lb

So we can replace in the linear model like this:

y=1.31 x +98.57=1.31*21 + 98.57 =126.08

7 0
3 years ago
How many full bag of wheat can be emptied into the conical end of radius 8.4 metre and height 3.5 metre, if space for the wheat
Vedmedyk [2.9K]

vol of wheat bag = 1.96 mater cuba so 258.72 / 1.96 = 392 bags I think this is the anwers. if wrong then sorry

4 0
3 years ago
Sadie started reading at 3:31 and finishes at 6:10. How long did Sadie read?
Valentin [98]

Answer:

2h and 39mins

Step-by-step explanation:

If you are unsure of these times questions. I suggest you draw a timeline! it helps! Trust me!!

6 0
2 years ago
What is the common ratio between successive terms in the sequence?<br> 27, 9, 9, 1,<br> 3,<br> of
grin007 [14]

Answer:

What is the common ratio between successive terms in the sequence?

27, 9, 9, 1,

3,

of

8 0
2 years ago
John has taken out a loan for college. He started paying off the loan with a first payment of $100. Each month he pays, he wants
sergeinik [125]
<span>Let a_0 = 100, the first payment. Every subsequent payment is the prior payment, times 1.1. In order to represent that, let a_n be the term in question. The term before it is a_n-1. So a_n = 1.1 * a_n-1. This means that a_19 = 1.1*a_18, a_18 = 1.1*a_17, etc. To find the sum of your first 20 payments, this sum is equal to a_0+a_1+a_2+...+a_19. a_1 = 1.1*a_0, so a_2 = 1.1*(1.1*a_0) = (1.1)^2 * a_0, a_3 = 1.1*a_2 = (1.1)^3*a_3, and so on. So the sum can be reduced to S = a_0 * (1+ 1.1 + 1.1^2 + 1.1^3 + ... + 1.1^19) which is approximately $5727.50</span>
8 0
3 years ago
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