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olya-2409 [2.1K]
4 years ago
10

Hi what is the answer for this?

Mathematics
2 answers:
Marat540 [252]4 years ago
6 0
I believe it's A I really hope that's right
Margaret [11]4 years ago
4 0
I think it's A witch is the number 24
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How can you do subtract three Digit numbers
Aleonysh [2.5K]
First off, you have to subtract the 3rd number, then carry the number if so, then do the same to the second and first number, did i help in any way?
4 0
3 years ago
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Carlos uses a vertical number line to graph the points −4, −2, 3, and 4. He notices that −4 is closer to zero than −2. He is not
aivan3 [116]

Step-by-step explanation:

The number line is a line with marks, where each mark represents a real number.

In the vertical number line zero is in the center. The numbers above zero are considered positive and the numbers below zero are considered negative.

4

3

2

1

0

-1

-2

-3

-4

The numbers after zero start from 0, 1, 2 ...... and 0, -1, -2.....

Hence, Carlos is wrong and -4 is further to zero than -2

8 0
3 years ago
Please help me thank you
Lina20 [59]
Find the hypotenuse.a square+ b square=c square. for both. and which ever is higher is harder to climb
4 0
4 years ago
Mathematics help please!!!!!!!!!<br><br> what is -0.0833333333333 converted into a fraction?
VladimirAG [237]

Answer:

- 1/12

Step-by-step explanation:

Let -0.0833333 = x  ---  (1)

Multiply both sides by 10.

-0.833333 = 10x   --- (2)

Subtract (2) from (1),

0.75 = -9x

-9x = \frac{75}{100}

= \frac{3}{4}

x=-\frac{3}{36}

x=-\frac{1}{12}


8 0
3 years ago
The data set represents a progression of hourly temperature measurements.Use the regression equation to predict the temperature
zimovet [89]
I will attach google sheet that I used to find regression equation.
We can see that linear fit does work, but the polynomial fit is much better.
We can see that R squared for polynomial fit is higher than R squared for the linear fit. This tells us that polynomials fit approximates our dataset better.
This is the polynomial fit equation:
T(h)=20.2-3.6h-0.875h^2
I used h to denote hours. Our prediction of temperature for the sixth hour would be:
T(6)=20.2-3.6(6)-0.875(6)^2=-32.9
Here is a link to the spreadsheet  (<span>https://docs.google.com/spreadsheets/d/17awPz5U8Kr-ZnAAtastV-bnvoKG5zZyL3rRFC9JqVjM/edit?usp=sharing)</span>

4 0
3 years ago
Read 2 more answers
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