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Ludmilka [50]
3 years ago
14

Rob purchased a rug for his apartment the rug is 72 inches by 96 inches calculate the area of the rug in inches

Mathematics
1 answer:
Gwar [14]3 years ago
4 0

Answer:

336

Step-by-step explanation:

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Answer:

2

Step-by-step explanation:

Because 2/2 equals 1, and 1 * 2 = 2

7 0
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Y=3x-2;(1,1) tell whether the ordered pair is a solution of the equation
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Write a direct or inverse variation equation for each relation.
igor_vitrenko [27]

Answer:

6 it is 6

Step-by-step explanation:

6 0
3 years ago
What is the equation
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8 0
3 years ago
(NEED HELP FAST , WILL GIVE BRAINLIEST!!!)
Kryger [21]

Answer:

Explained below.

Step-by-step explanation:

The data from the scatter plot is as follows:

Arm Span      Height

   19.5               25

   35.5              35

   37.0              39

   40.5             40

   44.5             45

   45.5             50

   49.0             49

    51.0             55

   52.5             47

   59.0             60

   61.0              58

(1)

Compute the value of slope and intercept as follows:

\sum{X} = 495 ~,~ \sum{Y} = 503 ~,~ \sum{X \cdot Y} = 23822 ~,~ \sum{X^2} = 23660.5

\begin{aligned}        b &= \frac{\sum{Y} \cdot \sum{X^2} - \sum{X} \cdot \sum{XY} }{n \cdot \sum{X^2} - \left(\sum{X}\right)^2} =             \frac{ 503 \cdot 23660.5 - 495 \cdot 23822}{ 11 \cdot 23660.5 - 495^2} \approx 7.174 \\ \\m &= \frac{ n \cdot \sum{XY} - \sum{X} \cdot \sum{Y}}{n \cdot \sum{X^2} - \left(\sum{X}\right)^2}        = \frac{ 11 \cdot 23822 - 495 \cdot 503 }{ 11 \cdot 23660.5 - \left( 495 \right)^2} \approx 0.857\end{aligned}

The equation of the line of best fit is, <em>y</em> = 0.857·<em>x</em> + 7.174.

(2)

The slope of the line represent the rate of change in <em>y</em> caused by one unit change in <em>x</em>.

In this case the slope of <em>m</em> = 0.857 indicates that as the arm span increases by 1 unit the height increases by 0.857 units.

(3)

To perform the Residual Test, simply take two values from the table and interchange the <em>x</em> and <em>y</em> values.

Consider the values: (37, 39) and (51, 55)

Compute the value of <em>y</em> if <em>x</em> = 39:

y = 0.857\cdot x + 7.174\\=0.857\times 39+7.174\\=40.597\\\approx 40.6

The new value of <em>y</em> (40.6) is close to the original value (39.0)

Compute the value of <em>y</em> if <em>x</em> = 55:

y = 0.857\cdot x + 7.174\\=0.857\times 55+7.174\\=54.309\\\approx 54.0

The new value of <em>y</em> (54) is close to the original value (55)

Thus, it can be said that the line of best fit models the data provided.

(4)

The line of best fit is:

<em>y</em> = 0.857·<em>x</em> + 7.174

The slope of the line is positive.

This implies that there is a positive relationship between the two variables.

The formula of slope in terms of correlation coefficient is:

\text{Slope}=r\times\sqrt{\frac{Var(x)}{Var(x)}}

The correlation coefficient is directly proportional to the slope.

This implies that the correlation coefficient is also positive.

Thus, the variables Arm span and Height are positively correlated.

4 0
3 years ago
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