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2 years ago

Which sets of three numbers could represent the lengths of the sides of a right triangle?

Mathematics

1 answer:

Sonja [21]2 years ago

8 0

Answer:

The Correct Answer Is B

Step-by-step explanation:

To answer this problem, we use the Pythagorean theorem which states that the square of the hypotenuse or the longest side is equal to the sum of the squares of the legs. Hence trying each option, we verify whether the dimensions are true to the right triangle theorem. In this case, the answer is B.

Hope This Answer Helps You

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Can 7/9 and 42/54 form a proportion

SOVA2 [1]

Answer:

yes

Step-by-step explanation:

42/54 = 6*7/6*9 = 7/9

7/9 = 42/54

8 0

3 years ago

Read 2 more answers

The difference between the observed value of the dependent variable and the value predicted using the estimated regression equat

Elenna [48]

Answer:

For this case we define the dependent variable as Y and the independent variable X. We assume that we have n observations and that means the following pairs:

$(x_1, y_1) ,....,(x_n,y_n)$

For this case we assume that we want to find a linear regression model given by:

$\hat y = \hat m x +\hat b$

Where:

$\hat m$ represent the estimated slope for the model

$\hat b$ represent the estimated intercept for the model

And for any estimation of the dependent variable $\hat y_i , i=1,...,n$ is given by this model.

The difference between the observed value of the dependnet variable and the value predicted using the estimated regression equation is known as residual, and the residual is given by this formula:

$e_i = y_i -\hat y_i , i=1,...,n$

So the best option for this case is:

d. residual

Step-by-step explanation:

For this case we define the dependent variable as Y and the independent variable X. We assume that we have n observations and that means the following pairs:

$(x_1, y_1) ,....,(x_n,y_n)$

For this case we assume that we want to find a linear regression model given by:

$\hat y = \hat m x +\hat b$

Where:

$\hat m$ represent the estimated slope for the model

$\hat b$ represent the estimated intercept for the model

And for any estimation of the dependent variable $\hat y_i , i=1,...,n$ is given by this model.

$e_i = y_i -\hat y_i , i=1,...,n$

So the best option for this case is:

d. residual

7 0

3 years ago