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Semenov [28]
3 years ago
5

Which of the following shows √-25 simplified and written as a complex number?

Mathematics
1 answer:
geniusboy [140]3 years ago
3 0

Answer:

Math error

Step-by-step explanation:

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What is the radius of a circle with circumference 56 inches
pochemuha

Answer:

The answer is 8.91 or 8.9

Step-by-step explanation:

SInce the circumference is 56, you'll divide it by pi or 3.14. It's as if you're doing it backwards, but not always. After you divide it by 3.14, you'll get your diameter, or in this case, 17.8. Divide the diameter by 2 because the diameter is twice the radius. Eventually your final answer will be 8.91 or 8.9

5 0
2 years ago
What is 3 2/3-1/9? What is the answer?
musickatia [10]

Answer:

3 5/9 or 32/9

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
Zachary purchased a new car for $29,995. The value of the car linearly depreciated to $9,300 over 10 years. Write a linear equat
Sindrei [870]

Answer:

Step-by-step explanation:

y=-1,869.5x+27,995

Step-by-step explanation:

Let

x-----> the time in years

y----> value of Zachary’s car in dollars

A(0,27,995), B(10,9,300)

step 1

Calculate the slope

The formula to calculate the slope between two points is equal to

m=\frac{y2-y1}{x2-x1}

substitute

m=\frac{9,300-27,995}{10-0}=-1,869.50

step 2

Find the equation of the line

The equation of the line into slope intercept form is equal to

y=mx+b

we have

m=-1,869.50

b=27,995  -----> the y-intercept is the point A

substitute

y=-1,869.5x+27,995

hope this helps have a good day

6 0
3 years ago
Joshua drinks 8 cups of water a day The recoummended daily amount is given n fluid ounces How many fluid ounces water does he dr
Naily [24]
Joshua drinks 64 ounces each day because there are 8 ounces in 1 cup so 8ounces(8 cups)= 64 ounces
8 0
3 years ago
In a regression analysis involving 30 observations, the following estimated regressionequation was obtained.y^ =17.6+3.8x 1 −2.3
USPshnik [31]

Answer:

(a) There is a significant relationship between y and x_1, x_2, x_3, x_4

(b) SSE_{(x_1 ,x_2 ,x_3 ,x_4) }= 45

(c) SSE_{(x_2,x_3)} = 100

(d) x_1 and x_4 are significant

Step-by-step explanation:

Given

y = 17.6+3.8x_1 - 2.3x_2 +7.6x_3 +2.7x_4 --- estimated regression equation

n = 30

p = 4 --- independent variables i.e. x1 to x4

SSR = 1760

SST = 1805

\alpha = 0.05

Solving (a): Test of significance

We have:

H_o : There is no significant relationship between y and x_1, x_2, x_3, x_4

H_a : There is a significant relationship between y and x_1, x_2, x_3, x_4

First, we calculate the t-score using:

t = \frac{SSR}{p} \div \frac{SST - SSR}{n - p - 1}

t = \frac{1760}{4} \div \frac{1805- 1760}{30 - 4 - 1}

t = 440 \div \frac{45}{25}

t = 440 \div 1.8

t = 244.44

Next, we calculate the p value from the t score

Where:

df = n - p - 1

df = 30 -4 - 1=25

The p value when t = 244.44 and df = 25 is:

p =0

So:

p < \alpha i.e. 0 < 0.05

Solving (b): SSE(x_1 ,x_2 ,x_3 ,x_4)

To calculate SSE, we use:

SSE = SST - SSR

Given that:

SSR = 1760 ----------- (x_1 ,x_2 ,x_3 ,x_4)

SST = 1805

So:

SSE_{(x_1 ,x_2 ,x_3 ,x_4)} = 1805 - 1760

SSE_{(x_1 ,x_2 ,x_3 ,x_4) }= 45

Solving (c): SSE(x_2 ,x_3)

To calculate SSE, we use:

SSE = SST - SSR

Given that:

SSR = 1705 ----------- (x_2 ,x_3)

SST = 1805

So:

SSE_{(x_2,x_3)} = 1805 - 1705

SSE_{(x_2,x_3)} = 100

Solving (d): F test of significance

The null and alternate hypothesis are:

We have:

H_o : x_1 and x_4 are not significant

H_a : x_1 and x_4 are significant

For this model:

y =11.1 -3.6x_2+8.1x_3

SSE_{(x_2,x_3)} = 100

SST = 1805

SSR_{(x_2 ,x_3)} = 1705

SSE_{(x_1 ,x_2 ,x_3 ,x_4) }= 45

p_{(x_2,x_3)} = 2

\alpha = 0.05

Calculate the t-score

t = \frac{SSE_{(x_2,x_3)}-SSE_{(x_1,x_2,x_3,x_4)}}{p_{(x_2,x_3)}} \div \frac{SSE_{(x_1,x_2,x_3,x_4)}}{n - p - 1}

t = \frac{100-45}{2} \div \frac{45}{30 - 4 - 1}

t = \frac{55}{2} \div \frac{45}{25}

t = 27.5 \div 1.8

t = 15.28

Next, we calculate the p value from the t score

Where:

df = n - p - 1

df = 30 -4 - 1=25

The p value when t = 15.28 and df = 25 is:

p =0

So:

p < \alpha i.e. 0 < 0.05

<em>Hence, we reject the null hypothesis</em>

7 0
3 years ago
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