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Thepotemich [5.8K]
3 years ago
6

Please hurry!!

Mathematics
2 answers:
Archy [21]3 years ago
7 0
Heyy, I think the answer is letter ""A"" 
frozen [14]3 years ago
6 0

Answer:

The answer is A I just took the test

Step-by-step explanation:

You might be interested in
√20/125 answer in simpleset form<br>​
grigory [225]

Answer:

.4!

Step-by-step explanation:

first you divide 20 by 125 and get .16

then you take the square root of .16 and get .4

4 0
2 years ago
Explain WHAT WOULD HAPPEN TO motion IF friction DID NDT EXIST.
MA_775_DIABLO [31]

Answer:

If friction did not exist, it would be hard for us to slow down in running, or putting breaks on a car, and more!

If friction did not exist, your car will slide down the road even if you try your best to put the brakes on a car. Friction is a very important force to slow down things that are moving very fast

Step-by-step explanation:

Hoped this helped.

GeniusUser

5 0
3 years ago
Name two points that are reflections of each other across the y-axis.
zheka24 [161]

Answer:

(1,1), (-1,1)

Step-by-step explanation:

To reflect a point over the x-axis, simply make its x-value negative. So, we can take the sample point of (1,1), make its x-value negative, and get (-1,1).

5 0
3 years ago
35) The volume of a cone is 8 cubic
Anuta_ua [19.1K]

Answer:

24 cm³

Step-by-step explanation:

Volume of a cylinder is three times of a cone with same measurements

volume of cone is 8cm³

then,volume of cylinder is 8 × 3 = 24

7 0
2 years ago
Suppose IQ scores were obtained for 20 randomly selected sets of couples. The 20 pairs of measurements yield x overbarequals100.
LenaWriter [7]

Answer:

\hat y = -3.34+ 1.07(91) = 94.03

Step-by-step explanation:

Data given

n=20 represent the sampel size

\bar X = 100.39 represent the sample mean for the independent variable (IQ score of the husband)

\bar y = 103.6 represent the sample mean for the dependent variable.

r =0.925 represent the correlation coefficient

Solution to the problem

The general expression for a linear model is given by:

y = \beta_0 + \beta_1 x

Where \beta_0 is the intercept and \beta_1 the slope

For this case we have a linear model given by the following expression:

\hat y = -3.34 +1.07 x

Where -3.34 is the intercept and 1.07 the slope. In order to find the best predicted value when X = 91 we just need to replace into the equation the value of 91 and we got this:

\hat y = -3.34+ 1.07(91) = 94.03

On this case is the best predicted value because E(\hat y) = y we have an unbiased estimator.

8 0
3 years ago
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