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3 years ago

12

after serious negotiating you got $25 discount a pair of sneakers if the original price of the sneakers was $125 what percentage

discount did you get

1 answer:

wolverine [178]3 years ago

8 0

I’m not to sure but I think you would have 50% off but just in case try other options first I hope this helps!

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How many solutions does the equation below have? 1/(-6-8x) = -3- 1x

uranmaximum [27]

Answer:

This equation has 2 solutions.

1. $x=\frac{-15+\sqrt{89}}{8}$

2. $x=-\frac{15+\sqrt{89}}{8}$

5 0

1 year ago

A brass ornament has a volume of 24cm^3.

dedylja [7]

For this case we have that by definition, the density is given by:

$d = \frac {M} {V}$

Where:

M: It is the mass

V: It is the volume

According to the data of the statement we have:

$V = 24 \ cm ^ 3\\d = 8.7 \frac {g} {cm ^ 3}$

So, the mass is given by:

$M = d * V\\M = 24 \ cm ^ 3 * 8.7 \frac {g} {cm ^ 3}\\M = 208.8 \ g$

Thus, the mass of the brass ornament is $208.8 \ g$

Answer:

$208.8 \ g$

3 0

3 years ago

To make 5 apple pies you need about 2 pounds

Margarita [4]

Answer:

8 pounds of apples.

Step-by-step explanation:

5 pies need 2 pounds of apples.

so 1 pie needs 2/5 pounds

- and 20 pies needs 20 * 2/5

= 40/5

= 8 pounds of apples.

8 0

3 years ago

Read 2 more answers

Help me please, Thanks

Irina-Kira [14]

60% of 20 = 12

I hope this helps! :)

4 0

3 years ago

Read 2 more answers

The data below are the ages and systolic blood pressures (measured in millimeters of mercury) of 9 randomly selected adults. Wha

seraphim [82]

Answer:

$\sum_{i=1}^n x_i =459$

$\sum_{i=1}^n y_i =1227$

$\sum_{i=1}^n x^2_i =24059$

$\sum_{i=1}^n y^2_i =168843$

$\sum_{i=1}^n x_i y_i =63544$

With these we can find the sums:

$S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}=24059-\frac{459^2}{9}=650$

$S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}{n}=63544-\frac{459*1227}{9}=967$

And the slope would be:

$m=\frac{967}{650}=1.488$

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

$\bar x= \frac{\sum x_i}{n}=\frac{459}{9}=51$

$\bar y= \frac{\sum y_i}{n}=\frac{1227}{9}=136.33$

And we can find the intercept using this:

$b=\bar y -m \bar x=136.33-(1.488*51)=60.442$

So the line would be given by:

$y=1.488 x +60.442$

And then the best predicted value of y for x = 41 is:

$y=1.488*41 +60.442 =121.45$

Step-by-step explanation:

For this case we assume the following dataset given:

x: 38,41,45,48,51,53,57,61,65

y: 116,120,123,131,142,145,148,150,152

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

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

Where:

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

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

So we can find the sums like this:

$\sum_{i=1}^n x_i =459$

$\sum_{i=1}^n y_i =1227$

$\sum_{i=1}^n x^2_i =24059$

$\sum_{i=1}^n y^2_i =168843$

$\sum_{i=1}^n x_i y_i =63544$

With these we can find the sums:

$S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}=24059-\frac{459^2}{9}=650$

$S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}{n}=63544-\frac{459*1227}{9}=967$

And the slope would be:

$m=\frac{967}{650}=1.488$

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

$\bar x= \frac{\sum x_i}{n}=\frac{459}{9}=51$

$\bar y= \frac{\sum y_i}{n}=\frac{1227}{9}=136.33$

And we can find the intercept using this:

$b=\bar y -m \bar x=136.33-(1.488*51)=60.442$

So the line would be given by:

$y=1.488 x +60.442$

And then the best predicted value of y for x = 41 is:

$y=1.488*41 +60.442 =121.45$

3 0

3 years ago