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2 years ago

Can someone help me with this

Mathematics

2 answers:

11Alexandr11 [23.1K]2 years ago

5 0

-6 + x = -7

+6 +6 add 6 to both sides, 6's cancel out on the left.

________

x = -1, is the answer.

Hope this helps! Let me know if you have any other questions related to this problem. :)

ElenaW [278]2 years ago

4 0

Answer:

x= -1

Step-by-step explanation:

-6+x = -7

x = -7+6

x= -1

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Calculate the value of x(trigonometry) X=29.7 X=6.3 X=0.2 X=14.5

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Answer:

5.5369

Step-by-step explanation:

tan(64) = 13/x

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Multiply both sides by x

2.3478x = 13

Divide both sides by 2.3478

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Answer:

Simplified version: 10x^5 - 1x^4 + 2x^3 - 6

Step-by-step explanation:

Since your birthday is 10/1/2006 we can use 1012006 as our digits.

We can make a random polynomial: 10x^5 - 1x^4 + 2x^3 + 0 x^2 + 0x - 6

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10x^5 - 1x^4 + 2x^3 - 6

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1 year ago

The number of wins for a high school football team is measured for the season. When the team plays at home, it is generally beli

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Hi there :)

Question :

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☆ The scatter plot would closely resemble a straight line with a negative slope. The data has a strong, negative correlation, and a causal relationship exists between the team playing at home and winning.

☆ The scatter plot would closely resemble a straight line with a negative slope. The data has a strong, negative correlation, but causation cannot be determined.

☆ The scatter plot would not be represented by a line of best fit with a negative slope. There is a weak correlation between the football team playing at home and winning.

☆ There is no causation and almost no correlation between the football team playing at home and winning.

Direct Answer- Option A

Answer Explanation -

r = -0.91

Negative, so opposite directions, which can be explained as for example, the more the team travels(plays away games), the less games it wins.

| r | = 0.91, which is quite close to 1, so a significant relationship. Also, Negative relation means that the scatter plot would be represented by a straight line with a negative slope, and so, correct answer is Option A

Method explanation :-

Correlation coefficients measure the relationship between variables, the closer | r | is to 1, the stronger the relationship will be.

If the coefficient is positive, then there will be a positive relationship. If the coefficient is negative, then there is a negative relationship.

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