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lys-0071 [83]
3 years ago
15

Help!!! Which ones do I circle?​

Mathematics
1 answer:
KiRa [710]3 years ago
3 0
Pay attention next time
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Please help me with this geometry question. x and pr needed ao basically like this x=(answer), PR=(answer). Thank you
Dennis_Churaev [7]

Answer:

x = -1, PR = 38.

Step-by-step explanation:

As Q is the midpoint of PR

PQ = QR

6x + 25 = 16 - 3x

9x = -9

x = -1.

PR

= 6x + 25 + 16 - 3x

= 6(-1) + 25 + 16 - 3(-1)

= -6 + 25 + 16 + 3

= 38.

7 0
2 years ago
Help ASAP please ‼️
Gnesinka [82]

Answer:

16

Step-by-step explanation:

<h2><em><u>Plz thank me and mark me as a brainlists</u></em></h2>
5 0
3 years ago
Read 2 more answers
3. Find the length of the missing side given the information below.
Lubov Fominskaja [6]
<h3>Answer:  12.5  (choice C)</h3>

=================================================

We apply the pythagorean theorem to find this answer.

a = 11 and b = 6 are the given legs

c = unknown hypotenuse

So,

a^2+b^2 = c^2

c = sqrt( a^2+b^2 )

c = sqrt( 11^2 + 6^2 )

c = sqrt( 121 + 36 )

c = sqrt( 157 )

c = 12.52996 approximately

c = 12.5

Side note: once you replace 'a' and b with 11 and 6, you can compute everything with a calculator in one single step more or less. The steps above are shown if you wanted to find the exact value sqrt(157).

7 0
3 years ago
-17=5s - 7<br> Can you help me?
julsineya [31]

Answer:

S=-2

Step-by-step explanation:

7 0
3 years ago
Read 2 more answers
The data below shows the points scored and minutes played by six basketball players during the 2004-2005 season. The least squar
k0ka [10]

We assume data and prediction as question is incomplete

Answer and Step-by-step explanation:

Least squares regression line equations are used to model the relationship that exists between two variables, dependent and independent variables. The equation has the form y=a+bx where y is the dependent variable and x is independent variable, a is a constant and is the y intercept and b is the slope of the line. This relationship is then used to predict future outcomes.

Given that data for 2004-2005 for the basketball players are :

James- 20 points

John- 30 points

Chris- 50 points

Dave-15 points

Donaldson- 32 points

Richard -40 points

We predict the scores/points for James (for example) for the following year using the equation of the regression line y=0.79x+1544

We substitute his points x=20 I'm the equation:

Y=0.79*20+1544

=1599.8

The predicted value is 1599.8

5 0
3 years ago
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