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dsp73
3 years ago
10

Can you answer this please ?

Mathematics
1 answer:
chubhunter [2.5K]3 years ago
4 0

Answer: 91


Step-by-step explanation:


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Rachel finished 3/4 of the race in 6 hours. How long was the entire race?
s344n2d4d5 [400]
6=.75x
x= 8 hours for the whole race

5 0
3 years ago
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Alan just got a Fall job. The equation P = 12.50h represents the salary P (in dollars) he will earn when he works h hours. How m
balandron [24]

Given:

Alan salary P (in dollars) when he works h hours is represented by the equation

P=12.50h

To find:

The earning per hour.

Solution:

We have,

P=12.50h

Here, P is total salary and h is number of hours he works.

\text{Earning per hour}= \dfrac{\text{Total salary}}{\text{Number of hours}}

\text{Earning per hour}= \dfrac{12.50h}{h}

\text{Earning per hour}=12.50

Therefore, the earning per hour is $12.50.

8 0
3 years ago
Calculate the new area using a scale factor of 3.
Ludmilka [50]

Answer:

315

Step-by-step explanation:

Using a scale factor of 3 basically means just multiply the length and the width by 3.

So instead of 5 * 7, we are doing 15 * 21.

15 * 21 = 315

8 0
3 years ago
Is the figure a rectangle? Explain.
luda_lava [24]

The correct option is b. No, it is not a rectangle because the sides of the parallelogram do not meet at right angles.

<h3>How to explain the information?</h3>

The figure is a parallelogram and one diagonal measure 28 units.

In this case, it is not a rectangle because the sides of the parallelogram do not meet at right angles.

Therefore, the correct option is B.

Learn more about rectangles on:

brainly.com/question/25292087

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5 0
2 years ago
For simple linear regression, y = β0 + β1x + u, which one of the following statements is true?
RSB [31]

Answer:

Option a) u is called the "error term". It is the error we make in prediction

Option d) x is called the independent variable because x is independent from y and u.

Step-by-step explanation:

We are given the following information in the question:

y = \beta_0 + \beta_1x + u

where y is the dependent variable, x is the independent variable.

\beta_0: It is the value of y when x is zero, that is y-intercept.

\beta_1: It is the coefficient of x in predicting the dependent variable y.

u is the error term.

  • An error term represents the margin of error.
  • It refers to the sum of the deviations within the regression line, that is the difference between the predicted value and the observed value of y.

Thus, Option A) u is the error term and Option D)  x is called the independent variable because x is independent from y and u are the correct answer.

6 0
3 years ago
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