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Sergio039 [100]
3 years ago
6

What’s the answer to this equation 4x7=(__x5)+(4x2)

Mathematics
1 answer:
motikmotik3 years ago
5 0

Answer:

4

Step-by-step explanation:

4X7 =28

4X2 =8

28-8 =20/5

=4

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B. There are 7 red, 8 green, and 6 blue marbles in the bag. Kate is going to
MrRa [10]

Answer:

Probability of event

0.34

Step-by-step explanation:

6 0
3 years ago
If 126 base n is equal to 86 find the positive value of n​
RoseWind [281]

Answer:

0.68?

Step-by-step explanation:

I am not from English speaking country so I am not sure about the first sentence but the second

126n = 86 | /126

n = 86/126

n ≈ 0,68

8 0
3 years ago
Miss Hamel and Miss Nelli spent the same amount of money at Target on Black Friday. Miss Hamel bought an $88 bike to donate for
Sauron [17]

Answer:

21

Step-by-step explanation:

3 0
3 years ago
.<br> Evaluate ƒ(x) = 3x + 8 for x = 1.<br><br><br> 3<br><br><br> 5<br><br><br> 11<br><br><br> –11
rodikova [14]

Answer:

11

Step-by-step explanation:

Replace the variable xx with −1-1 in the expression.

f(−1)=−3⋅−1+8f(-1)=-3⋅-1+8

Simplify the result.

Tap for fewer steps...

Multiply −3-3 by −1-1.

f(−1)=3+8f(-1)=3+8

Add 33 and 88.

f(−1)=11f(-1)=11

The final answer is 1111.

=11

I want brainless pleased

8 0
3 years ago
A. Find a power function that models the data below.
zalisa [80]

Using Visual inspection, the model which fits the data in the distribution better is the power function.

The power and linear functions can of the data can both be modeled using technology,

<u>Using Technology</u> :

The power function in the form y = Ax^{B} which models the data is 1.926x^{1.662}

The linear function in the form y = Bx + A which models the data is y = 7.429x - 8.333

  • Where A = intercept and B = slope

  • From the model, correlation coefficient given by the power and linear models are 0.999 and 0.986 respectively.

  • Hence, the power model is a better fit for the data than the linear model.

Therefore, Inspecting the models visually, the power function fits the data better as the points on the curve are closer to the regression line than on the linear model.

Learn more :brainly.com/question/18405415

6 0
2 years ago
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