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Blizzard [7]
3 years ago
12

A woman won a 4000​-m race with a time of 12.089 min. What was her​ rate?

Mathematics
1 answer:
Blizzard [7]3 years ago
8 0

Answer:

330.88 m/min  

Step-by-step explanation:

rate = distance/time

        = 4000 /12.089

        = 330.88 m/min

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Write two conditionals from each biconditional
bearhunter [10]

Two conditionals from each biconditional are

  • (1) A month has exactly 28 days (2) It is February
  • (1)Two angels are complementary  (2) The measures of the angles add up to 90
  • (1) The area of square s^2 (2) The perimeter of the square is 4s

<h3>How to write two conditionals from each biconditional?</h3>

A biconditional statement is represented as:

if and only if p, then q

From the above biconditional statement, we have the following conditional statements

Conditional statement 1: p

Conditional statement 2: q

Using the above as a guide, the conditional statements from the biconditional statements are:

<u>Biconditional statement 30</u>

  • A month has exactly 28 days
  • It is February

<u>Biconditional statement 31</u>

  • Two angels are complementary
  • The measures of the angles add up to 90

<u>Biconditional statement 32</u>

  • The area of square s^2
  • The perimeter of the square is 4s

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3 0
1 year ago
In a teacher's math course, a linear regression line was calculated to predict
Marat540 [252]

The given equation is the best line that approximates the linear

relationship between the midterm score and the score in the final exam.

  • AJ's residual is 0.3, which is not among the given options, therefore, the correct option is. <u>E. None of these</u>.

Reasons:

The given linear regression line equation is; \hat y = 25.5 + 0.82·\mathbf{\hat x}

Where;

\hat y = Final exam score;

\hat x = The midterm score;

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AJ's actual score in the exam = 99

Required:

The value of AJ's residual

Solution:

By using the regression line equation, we have;

The predicted exam score, \hat y = 25.5 + 0.82 × 90 = 99.3

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∴ AJ's residual = 99.3 - 99 = 0.3

AJ's residual = 0.3

Therefore, the correct option is option E;

  • <u>E. None of these</u>

Learn more about regression line equation here:

brainly.com/question/9339658

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( 이게 옳은 거니?)

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