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Snowcat [4.5K]
3 years ago
15

Which correctly describes a cross section of the cube below? Check all that apply.

Mathematics
1 answer:
mixer [17]3 years ago
6 0

Answer:

check the first one only

Step-by-step explanation:

in a cube, no matter which side it is, there will never be a rectangle, it will all be squares

not exactly good at drawing but I drew out what the description looks like and hope you can somehow understand it better!

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-400 = -8 (2+6r) solve​
Leto [7]

Answer: r=8

Step-by-step explanation:

-400/-8=400/8=5, then 48=6r equals 8.

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3 years ago
Really need big help on this one please
Valentin [98]

Answer:

Answer equals to 55.75ftsquare

Step-by-step explanation:

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2 years ago
Help pleaseeeeeee quickly
shusha [124]

The first sentence in the chart belongs to the subjunctive mood, while the other sentences can be classified as part of the conditional mood.

<h3>What is a verb mood?</h3>

In language, the verb mood indicates the attitude of the speaker, and therefore, it provides clues about the way language is used. For example, the imperative mode indicates an order is being given.

<h3>What is the difference between the conditional and the subjunctive mood?</h3>
  • Subjunctive: It is used for expressing wishes; due to this, it is common to find the use of words such as "wish".
  • Conditional: It expresses a condition or a situation that will/can happen if another situation occurs. This can be identified due to the use of "if".

Based on this, the first sentences belongs to the subjunctive mood, while the other sentences are part of the conditional.

Learn more about the subjunctive in: brainly.com/question/22728240

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6 0
2 years ago
What is the quadratics formula?
8_murik_8 [283]
This is the quadratic formula

8 0
3 years ago
Read 2 more answers
Please consider the following values for the variables X and Y. Treat each row as a pair of scores for the variables X and Y (wi
Studentka2010 [4]

Answer:

The Pearson's coefficient of correlation between the is 0.700.

Step-by-step explanation:

The correlation coefficient is a statistical degree that computes the strength of the linear relationship amid the relative movements of the two variables (i.e. dependent and independent).It ranges from -1 to +1.

The formula to compute correlation between two variables <em>X</em> and <em>Y</em> is:

r(X, Y)=\frac{Cov(X, Y)}{\sqrt{V(X)\cdot V(Y)}}

The formula to compute covariance is:

Cov(X, Y)=n\cdot \sum XY-\sum X \cdot\sum Y

The formula to compute the variances are:

V(X)=n\cdot\sum X^{2}-(\sum X)^{2}\\V(Y)=n\cdot\sum Y^{2}-(\sum Y)^{2}

Consider the table attached below.

Compute the covariance as follows:

Cov(X, Y)=n\cdot \sum XY-\sum X \cdot\sum Y

                 =(5\times 165)-(30\times 25)\\=75

Thus, the covariance is 75.

Compute the variance of X and Y as follows:

V(X)=n\cdot\sum X^{2}-(\sum X)^{2}\\=(5\times 226)-(30)^{2}\\=230\\\\V(Y)=n\cdot\sum Y^{2}-(\sum Y)^{2}\\=(5\times 135)-(25)^{2}\\=50

Compute the correlation coefficient as follows:

r(X, Y)=\frac{Cov(X, Y)}{\sqrt{V(X)\cdot V(Y)}}

            =\frac{75}{\sqrt{230\times 50}}

            =0.69937\\\approx0.70

Thus, the Pearson's coefficient of correlation between the is 0.700.

5 0
3 years ago
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