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zimovet [89]
4 years ago
9

Sos easy Math like first grade

Mathematics
2 answers:
n200080 [17]4 years ago
4 0

The answer is B.)

Because it said 'thousands'

Advocard [28]4 years ago
3 0
I think it's B. Because of the places...
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Please help with this acellus question!
Anna11 [10]

Answer:

The value of x is 5

Step-by-step explanation:

In the given triangle

∵ A segment joining two points lie on the two side

∵ This segment is parallel to the third side

∴ This segment divides the two sides into parts that have the same ratio

→ That means x over 2x - 3 equal to 10 over 14

∵ \frac{x}{2x-3} = \frac{10}{14}

→ By using cross multiplication

∴ 10 × (2x - 3) = x × 14

∴ 10(2x) - 10(3) = 14x

∴ 20x - 30 = 14x

→ Add 30 to both sides

∵ 20x - 30 + 30 = 14x + 30

∴ 20x = 14x + 30

→ Subtract 14x from both sides

∵ 20x - 14x = 14x - 14x + 30

∴ 6x = 30

→ Divide both sides by 6

∴ x = 5

∴ The value of x is 5

6 0
3 years ago
In a standardized normal distribution the mean is ____ while the standard deviation is ____.
Vlad [161]
I think D. I’m not sure so it might be wrong
5 0
3 years ago
4. A construction company used 40 yards of fencing on the perimeter of a rectangular
inessss [21]

2 Five Yard Sides And 2 15 yard sides.

8 0
3 years ago
A recipe calls for 3.75 cups of flour. What is the least amount as a mixed number in simplest form
Zolol [24]

3 3/4 cups of flour is the correct answer to this problem.

3 0
3 years ago
3. The data set shows the number of practice throws players in a basketball competition made and the number of free throws they
babymother [125]

<u>Answer-</u>

<em>The </em><em>exponential model</em><em> best fits the data set.</em>

<u>Solution-</u>

x = input variable = number of practice throws

y = output variable =  number of free throws

Using Excel, Linear, Quadratic and Exponential regression model were generated.

The best fit equation and co-efficient of determination R² are as follows,

<u>Linear Regression</u>  

y=2.155x+0.391,\ R^2=0.903

<u>Quadratic Regression</u>

y=0.096x^2+0.713x+3.803,\ R^2=0.948

<u>Exponential Regression</u>

y=4.625e^{0.141x},\ R^2=0.951

The value of co-efficient of determination R² ranges from 0 to 1, the more closer its value to 1 the better the regression model is.

Now,

R^2_{Linear}< R^2_{Quadratic}< R^2_{Exponential}

Therefore, the Exponential Regression model must be followed.

7 0
4 years ago
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