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3 years ago

What is the square root of -16? 0-81 041 OO

Mathematics

2 answers:

Nady [450]3 years ago

7 0

Answer:

4 i

Step-by-step explanation:

JulijaS [17]3 years ago

5 0

Answer: 4 i

Finding square roots of of numbers that aren't perfect squares without a calculator.

Example: Calculate the square root of 10 ( ) to 2 decimal places.

Find the two perfect square numbers it lies between.

Divide 10 by 3.

Average 3.33 and 3. ( ...

Repeat step 2: 10/3.1667 = 3.1579.

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Graph the linear equation

Mekhanik [1.2K]

Answer:

I added a screenshot. ;)

Step-by-step explanation:

4 0

2 years ago

How to answer this question ?

drek231 [11]

The sides

12-3a

4(2a-5)=8a-40

so for perimeter we + them

(12-3a)+(12-3a)+(8a-40)

2a-16

6 0

1 year ago

Help me please I’m down baddddd

Pani-rosa [81]

Answer:

a. m<B = 100°

b. m<L = 55°

c. Scale factor = 9/11

Step-by-step explanation:

a) Similar triangles have their three corresponding angles congruent to each other, while the ratio of their corresponding sides are proportional to each other.

Since ∆ABC ~ ∆GLJ, therefore,

<A = <G,

<B = <J

<C = <L

m<J = 100° (given)

Therefore,

m<B = m<J = 100°

m<B = 100°

b) m<A = m<G

m<A = 25° (given)

Therefore,

m<A = m<G = 25°

m<G = 25°

m<L = 180° - (m<J + m<G)

Substitute

m<L = 180° - (100° + 25°)

m<L = 55°

c) scale factor of smaller triangle to the larger = side length of smaller triangle / corresponding side length of bigger triangle

Scale factor = AB/GJ

Substitute

Scale factor = 18/22

Simplify

Scale factor = 9/11

8 0

2 years ago

What is the equation of the best-fitting regression line? Find this in two ways. First, using the regression analysis part of th

Lemur [1.5K]

Step-by-step explanation:

Regression analysis is used to infer about the relationship between two or more variables.

The line of best fit is a straight line representing the regression equation on a scatter plot. The may pass through either some point or all points or none of the points.

Method 1:

Using regression analysis the line of best fit is: $y=\alpha +\beta x+e$

Here α = intercept, β = slope and e = error.

The formula to compute the intercept is:

$\alpha =\bar y-\beta \bar x$

Here $\bar y$ and $\bar x$ are mean of the y and x values respectively.

$\bar y=\frac{\sum y_{i}}{n} \\\bar x=\frac{\sum x_{i}}{n}$

The formula to compute the slope is:

$\beta =\frac{\sum (x-\bar x)(y - \bar y)}{\sum (x=\bar x)^{2}}$

And the formula to compute the error is:

$e=y-\alpha -\beta x$

Method 2:

The regression line can be determined using the descriptive statistics mean, standard deviation and correlation.

The equation of the line of best fit is:

$(y-\bar y)=r\frac{\sigma_{x}}{\sigma_{y}} (x-\bar x)$

Here r = correlation coefficient = $r=\frac{Cov (x,y)}{\sqrt{\sigma^{2}_{x}\sigma^{2}_{y}} }$

$\sigma_{x}$ and $\sigma_{y}$ are standard deviation of x and y respectively.

$\sigma_{x}=\frac{1}{n}\sum (x-\bar x)^{2} \\\sigma_{y}=\frac{1}{n}\sum (y-\bar y)^{2}$

3 0

3 years ago

Find the result when 90 is decreased by 35%. 58.5 75.6 60.5 78.5

avanturin [10]

In this question, it's asking you to find the number when 90 is subtracted by 35%. So, you find 35% of 90 which is 31.5 and you minus it from 90 = 58.5.

> 90 x 35% = 31.5
> 90 - 31.5 = 58.5

3 0

3 years ago