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AysviL [449]
4 years ago
9

Plss helpp !! *worth 25 points*

Mathematics
1 answer:
viva [34]4 years ago
5 0

Answer:

Purple Circle : 28.27

Yellow Circle : 43.98

Step-by-step explanation:

Radius of Purple Circle : 4.5

2 * π * 4.5 = 28.27

Radius of Yellow Circle : 7

2 * π * 7 = 43.98

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jenyasd209 [6]
What In the world that is not a problem
8 0
3 years ago
Y=3x-7 Y=3x+4 solving the special system of liner equations ?
DIA [1.3K]

Answer:

No Solution.

Step-by-step explanation:

y=3x-7

y=3x+4

-----------

3x-7=3x+4

3x-3x-7=4

-7=4

no solution.

4 0
3 years ago
Which quadratic equation is equivalent to (x2 – 1)2 – 11(x2 – 1) 24 = 0? u2 – 11u 24 = 0 where u = (x2 – 1) (u2)2 – 11(u2) 24 wh
RSB [31]

The equivalent equation of the quadratic equation (x² – 1)² – 11(x² – 1) + 24 = 0 is u² - 11² + 24 = 0

<h3>How to determine the equivalent equation?</h3>

The equation is given as:

(x² – 1)² – 11(x² – 1) + 24 = 0

Let u = x² - 1

So, we have:

u² - 11² + 24 = 0

Hence, the equivalent equation of the quadratic equation (x² – 1)² – 11(x² – 1) + 24 = 0 is u² - 11² + 24 = 0

Read more about quadratic equation at:

brainly.com/question/8649555

#SPJ4

7 0
3 years ago
The data below represent the number of days​ absent, x, and the final​ grade, y, for a sample of college students at a large uni
Zina [86]

Answer:

The equation of the regression line is: y~=~88.518 ~-~ 3.068 \cdot x

Step-by-step explanation:

Linear regression is a linear approach to modelling the relationship between a dependent variable and one or more independent variables.

Let X be the independent variable and Y be the dependent variable. We will define a linear relationship between these two variables as follows:

Y=bX+a

We have the the following data:

\begin{array}{c|cccccccccc}No. \:of \:absences,\:x&0&1&2&3&4&5&6&7&8&9\\Final \:grade, y&88.5&85.7&82.8&80.3&77.4&73.1&63.6&68.1&65.2&62.4\end{array}

To find the line of best fit for the points, follow these steps:

Step 1: Find X\cdot Y and X\cdot X as it was done in the table.

Step 2: Find the sum of every column:

\sum{X} = 45 ~,~ \sum{Y} = 747.1 ~,~ \sum{X \cdot Y} = 3108.8 ~,~ \sum{X^2} = 285

Step 3: Use the following equations to find intercept a and slope b:

\begin{aligned}        a &= \frac{\sum{Y} \cdot \sum{X^2} - \sum{X} \cdot \sum{XY} }{n \cdot \sum{X^2} - \left(\sum{X}\right)^2} =             \frac{ 747.1 \cdot 285 - 45 \cdot 3108.8}{ 10 \cdot 285 - 45^2} \approx 88.518 \\ \\b &= \frac{ n \cdot \sum{XY} - \sum{X} \cdot \sum{Y}}{n \cdot \sum{X^2} - \left(\sum{X}\right)^2}        = \frac{ 10 \cdot 3108.8 - 45 \cdot 747.1 }{ 10 \cdot 285 - \left( 45 \right)^2} \approx -3.068\end{aligned}

Step 4: Assemble the equation of a line

\begin{aligned} y~&=~a ~+~ b \cdot x \\y~&=~88.518 ~-~ 3.068 \cdot x\end{aligned}

The graph of the regression line is:

4 0
3 years ago
Gerry just returned from a cross-country trip. The trip was 3,000 miles from his home, and his total time in the airplane for th
e-lub [12.9K]

The speed of the jet stream is 4.55 miles per hour

Step-by-step explanation:

Distance of one way trip= 3000 miles

The total distance of the round trip= 6000 miles

Total time = 11 hrs

Speed of the plane = 550 miles per hr

Speed = distance/time

= 6000/11

= 545.45 miles per hour

Speed of the plane = 545.45 + speed of the jet stream

550 = 545.45 + speed of jet stream

Speed of jet stream = 4.55 miles per hour

The speed of the jet stream is 4.55 miles per hour

5 0
3 years ago
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