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IgorC [24]
3 years ago
6

Pls help me I am confused 8' 4" − 2' 6" (it's not easy)

Mathematics
1 answer:
VashaNatasha [74]3 years ago
5 0

I do not know sorry

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In the 2001-2002 season Susan bird the WNBA team the Seattle storm made 27% of her 3 point shots write this percent as a decimal
Ronch [10]

Answer: 0.27

Step-by-step explanation:

Move the decimal two places to the left

6 0
3 years ago
Which congruency theorem can be used to prove
irina1246 [14]

Answer:

SAS

Step-by-step explanation:

Given: Two triangles ΔABD and ΔDCA,  

We have, AD=AD (normal)  

∠A=∠A (Given)  

BA=CD (Sides inverse to rise to points are consistently equivalent)  

With the SAS rule of congruency,  

ΔABD≅ΔDCA

Brainliest?

4 0
2 years ago
The radius of the circle is 3 millimeters. what is the circles area
Irina18 [472]

Answer:

28.26 millimeters

4 0
3 years ago
Please Help me A.S.A.P.
kati45 [8]

Answer:

16.01%

Step-by-step explanation:

45-28.99 is 16.01, so it's 16.01%.

4 0
3 years ago
You conducted a regression analysis between Amount of Wealth in society (x) and the Stock Market Value (y) and the study yielded
Aliun [14]

Answer:

E IS THE CORRECT ANSWER

The R-squared is 0.64 and it means that the dependent value explains 64% of the independent value in the simple regression analysis

Step-by-step explanation:

R-Squared value is a very important indicator in a regression analysis.

What does it measure?

It measures how close to the line of best fit are the data points. How good the fitted line is can be indicated by the value of the r-squared.

The maximum value it can take is 1 and at this value, there is a direct and complete relationship between the independent variable x and the dependent variable y. The value 1 represents an 100% relationship between both parties.

The r-squared has a value of between 0 and 100%. The closer to 100, the better the model while the closer to 100, the more faulty the model is. In fact, a value of 0 indicates no relationship at all between the dependent and the independent variable.

With an R-squared value of 0.64, the regression model works above average to explain that the dependent variable explains 64% of the independent value in the simple regression analysis.

8 0
3 years ago
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