MATHEMATICS HIGH SCHOOL

A​ salesperson's ratio of successful signups to the number of people called is 0.875. This​ month, the salesperson had 35 signups. How many people did the salesperson call this​ month?I need this quick

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Answer 1
Answer: The answer is 37.7 or 38 if it has to be rounded
33 divided by 0.875

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What is 481 divided by 8?Is it 60 with a remainder of 1 ?

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Yes. 60 remain 1 or 60.125 . 

I am a number greater than 40,000 and less than 60,000. My ones digit and tens digit are the same. My ten-thousands digit is 1 less than 3 times the sum of my ones digit and tens digit. My thousands digit is half my hundreds digit, and the sum of those two digits is 9. What number am I?

Answers

I am a number greater than 40,000 and less than 60,000:

40,000 < n < 60,000

This means that:

n = 10,000n₁ + 1,000n₂ + 100n₃ + 11n₄

And also:

4 ≤ n₁ < 6

0 ≤ n₂ ≤ 9

0 ≤ n₃ ≤ 9

0 ≤ n₄ ≤ 9

My ten thousands digit is 1 less than 3 times the sum of my ones digit and tens digit:

n₁ = 3*2n₄ - 1

n₁ = 6n₄ - 1

This means that:

n = 10,000*(6n₄-1) + 1,000n₂ + 100n₃ + 11n₄

n = 60,000n₄ - 10,000 + 1,000n₂ + 100n₃ + 11n₄

n = 60,011n₄ - 10,000 + 1,000n₂ + 100n₃

My thousands digit is half my hundreds digit, and the sum of those two digits is 9:

n₂ = 1/2 * n₃

n₂ + n₃ = 9

Therefore:

n₂ = 9 - n₃

Therefore:

9 - n₃ = 1/2 * n₃

9 = 1/2 * n₃ + n₃

9 = 1.5 * n₃

Therefore:

n₃ = 6

If n₃=6, n₂=3.

This means that:

n = 60,011n₄ - 10,000 + 1,000*3 + 100*6

n = 60,011n₄ - 10,000 + 3,000 + 600

n = 60,011n₄ - 6,400

Therefore:

0<n₄<2, so n₄=1.

If n₄=1:

n = 60,011 - 6,400

n = 53,611

Answer:

53,611

For which data set is a linear regression most reasonable

Answers

Answer:

C. a set of four data pairs with a correlation coefficient r = –0.8

Step-by-step explanation:

The options for this answer are

A. a set of nine data pairs with a correlation coefficient r = –0.4

B. a set of five data pairs with a correlation coefficient r = 0.3

C. a set of four data pairs with a correlation coefficient r = –0.8

D. a set of six data pairs with a correlation coefficient r = 0.6

The correlation coefficient is a statistical measure about the relationship between two variables. Specifically, it tells if there's a positive or negative correlation, and how strong or weak it is.

The interval of a correlation coefficient is from -1 to 1, and the nearer the value gets to zero, the less correlation exist between variables. If the coefficient is near 1, that means there is a strong positive correlation, and if the coefficient is near -1, that means there's a strong negative correlation.

So, in this case, option C shows a correlation coefficient of -0.8, which is the "highest" coefficient among options, this means that it represents the strongest correlation among options.

Therefore, the best data set that fits a linear correlation is C.
If your data consists of scores from variables that are correlated or those that you already correlated with, then the most reasonable data statistical analysis would be a linear regression. This is used usually in order to determine if one variable predicts the other.

In the quadrilateral ABCD, ABIDC. Complete the table below. 9.2.2 Statement (3 Reason corr. As and AB || DC alt. cs and AB | DC​

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Answer:

Step-by-step explanation:

How are rational expressions related to rational numbers?

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A rational expression is the same way that any integer is also a rational number. You can stick to any polynomial in the numerator of a fraction and put "1" in the denominator.

The difference between a histogram and a frequency polygon is The frequency polygon is reported as a percent. The histogram employs bars whereas the midpoints are connected for a frequency polygon. Bars cannot be adjacent in a histogram. Open-ended classes can be accommodated with a frequency polygon.

Answers

Answer: The frequency polygon is reported as a percent, providing a more intuitive understanding of the data distribution. In contrast, a histogram employs bars to represent the frequencies of different data intervals. Unlike a histogram, where bars cannot be adjacent to maintain clarity, a frequency polygon connects the midpoints of each interval, creating a smooth line. Also, a frequency polygon allows for the inclusion of open-ended classes, making it more flexible in representing data with varying ranges.

Step-by-step explanation:
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According to the Rational Root Theorem, the following are potential fox) 2x2 +2x 24.roots of -4, -3, 2, 3, 4Which are actual roots of f(x)?O 4 and 34, 2, and 3O 3 and 43, 2, and 4