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adell [148]
3 years ago
10

Math help asap timed 24 points!

Mathematics
1 answer:
S_A_V [24]3 years ago
3 0

3x+8.5 =2.5x + 14.5

subtract 2.5x from each side

.5x + 8.5 = 14.5

subtract 8.5 from each side

.5x =6

multiply by 2

x =12

at 12 weeks they will be the same height

Choice B

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Answer:

c 60.5 ft x 2ft

Step-by-step explanation:

60.5 ft x 2 = 121 ft

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Taya2010 [7]

15.2

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2 years ago
Does this represent quntitites that are proportional
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Step-by-step explanation:

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1 year ago
The least-squares regression model y =−3.4+5.2x and correlation coefficient r=−0.66 were calculated for a set of bivariate data
Makovka662 [10]

Answer:

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

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Now we can calculate the determination coeffcient:

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And then we can conclude that 43.56% of the variation in y can be explained by the explanatory variable

And then 100-43.56 = 56.44 % of the variation in y that cannot be explained by the explanatory variable

Step-by-step explanation:

For this case we need to calculate the slope with the following formula:

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}

\bar x= \frac{\sum x_i}{n}

\bar y= \frac{\sum y_i}{n}

And we can find the intercept using this:

b=\bar y -m \bar x

And the model obtained for this case is:

y = -3.4 +5.2 x

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.

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]}}  

For this case the value of r = -0.66

Now we can calculate the determination coeffcient:

r^2 = (-0.66)^2 = 0.4356

And then we can conclude that 43.56% of the variation in y can be explained by the explanatory variable

And then 100-43.56 = 56.44 % of the variation in y that cannot be explained by the explanatory variable

8 0
2 years ago
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coldgirl [10]
The dimensions of the larger cuboid are 25/10 = 2.5 times those of the smaller one. {length, width} = 2.5*{4 cm, 7 cm) = {10 cm, 17.5 cm}
5 0
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