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Veseljchak [2.6K]
3 years ago
12

If two trucks leave a given city on highways making an angle of 132 degrees with one another, traveling at 45 and 55 miles per h

our, respectively, what is the distance between the trucks 2 hours later

Mathematics
2 answers:
a_sh-v [17]3 years ago
7 0

Answer: The distance between the trucks after 2 hours is 183 miles

Step-by-step explanation:

As the truck head towards their respective destinations, we are required to find the distance between them after they have travelled for 2 hours.

Now, it is important that we firstly determine the distance, the respective trucks must have travelled after 2 hours:-

Since Truck A travelled at a speed of 45 miles per hour, the distance it covers after 2 hours will be:

45 miles ------- 1 hour

? miles ------2hours

= 2/1 × 45 = 90 miles

For truck B, it travelled at a speed of 55 miles per hour, the distance it covers after two hours:-

= 55 × 2 = 110 miles.

You can see the attached to understand that we are basically required to find a side of a triangle after being given 2 sides of the triangle (90 miles and 110 miles)

To determine the third side of the triangle and having a prior knowledge that the 2 trucks were at an angle of 135° when they're set-off; we then make use of cosine rule to find the distance between the trucks after 2 hours.

c^2 = a^2 + b^2 - (2×a×b cos C)

Here, a = distance covered by truck A = 90 miles

b= distance covered by truck B = 110miles

c= distance between the trucks

C= the angle between the trucks= 132°

c^2= 90^2 + 110^2 - (2×90×110 cos 132°)

c^2 = 8100 + 1200 - (19800 cos 132°)

c^2 = 8100 + 12100 + 13248.786

c^2 = 33448.786

c = √33448.786

c = 182.89

Therefore the distance between the two trucks after 2 hours is approximately 183 miles.

Law Incorporation [45]3 years ago
3 0

Answer:

183 miles to the nearest mile.

Step-by-step explanation:

Distance =Speed X Time

Distance of Truck B from point A=45 X2 =90 miles

Distance of Truck C from point A=55 X2 =110 miles

Angles between them, BAC=132°

We want to find the Distance BC denoted by a between the trucks.

Using Cosine Rule,

a²=b²+c²-2bcCos A

=90²+110²-(2X90X110XCos132°)

=33448.79

a=√33448.79

BC=182.89 miles

The distance between the trucks is 183 miles to the nearest mile.

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(a) See below

(b) r = 0.9879  

(c) y = -12.629 + 0.0654x

(d) See below

(e) No.

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(a) Plot the data

I used Excel to plot your data and got the graph in Fig 1 below.

(b) Correlation coefficient

One formula for the correlation coefficient is  

r = \dfrac{\sum{xy} - \sum{x} \sum{y}}{\sqrt{\left [n\sum{x}^{2}-\left (\sum{x}\right )^{2}\right]\left [n\sum{y}^{2} -\left (\sum{y}\right )^{2}\right]}}

The calculation is not difficult, but it is tedious.

(i) Calculate the intermediate numbers

We can display them in a table.

<u>    x   </u>    <u>      y     </u>   <u>       xy     </u>    <u>              x²    </u>   <u>       y²    </u>

   36       0.22              7.92               1296           0.05

   67        0.62            42.21              4489           0.40

   93         1.00            93.00           20164           3.46

 433        11.8          5699.4          233289        139.24

 887      29.3         25989.1          786769       858.49

1785      82.0        146370          3186225      6724

2797     163.0         455911         7823209    26569

<u>3675 </u>  <u> 248.0  </u>    <u>   911400      </u>  <u>13505625</u>   <u> 61504        </u>

9965   537.81     1545776.75  25569715   95799.63

(ii) Calculate the correlation coefficient

r = \dfrac{\sum{xy} - \sum{x} \sum{y}}{\sqrt{\left [n\sum{x}^{2}-\left (\sum{x}\right )^{2}\right]\left [n\sum{y}^{2} -\left (\sum{y}\right )^{2}\right]}}\\\\= \dfrac{9\times 1545776.75 - 9965\times 537.81}{\sqrt{[9\times 25569715 -9965^{2}][9\times 95799.63 - 537.81^{2}]}} \approx \mathbf{0.9879}

(c) Regression line

The equation for the regression line is

y = a + bx where

a = \dfrac{\sum y \sum x^{2} - \sum x \sum xy}{n\sum x^{2}- \left (\sum x\right )^{2}}\\\\= \dfrac{537.81\times 25569715 - 9965 \times 1545776.75}{9\times 25569715 - 9965^{2}} \approx \mathbf{-12.629}\\\\b = \dfrac{n \sum xy  - \sum x \sum y}{n\sum x^{2}- \left (\sum x\right )^{2}} -  \dfrac{9\times 1545776.75  - 9965 \times 537.81}{9\times 25569715 - 9965^{2}} \approx\mathbf{0.0654}\\\\\\\text{The equation for the regression line is $\large \boxed{\mathbf{y = -12.629 + 0.0654x}}$}

(d) Residuals

Insert the values of x into the regression equation to get the estimated values of y.

Then take the difference between the actual and estimated values to get the residuals.

<u>    x    </u>   <u>      y     </u>   <u>Estimated</u>   <u>Residual </u>

    36        0.22        -10                 10

    67        0.62          -8                  9

    93        1.00           -7                  8

   142        1.86           -3                  5

  433       11.8             19               -  7

  887     29.3             45               -16  

 1785     82.0            104              -22

2797    163.0            170               -  7

3675   248.0            228               20

(e) Suitability of regression line

A linear model would have the residuals scattered randomly above and below a horizontal line.

Instead, they appear to lie along a parabola (Fig. 2).

This suggests that linear regression is not a good model for the data.

4 0
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