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Rom4ik [11]
3 years ago
9

Andrew lives 1.7 kilometers from the soccer field. He rode his bike 0.9 of the distance to the field. How much farther does Andr

ew need to ride to reach the soccer field?
Mathematics
1 answer:
coldgirl [10]3 years ago
7 0

Answer:

0.17 km more

Step-by-step explanation:

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Find the equation of the line that passes through the point (2,2) and is perpendicular to the line
guajiro [1.7K]
Y = mx + c, where m is your gradient and c is your y intercept.

If the line is perpendicular to the line y = 3x - 5, the line's gradient = -(1/3) as when it comes to perpendicular bisector, m1/m2 = -1

y = -(1/3)x + C
To find C sub in x=2 and y=2 as it goes through (2,2)

2 = -(1/3)2 + C
2 = -(2/3) + C
2 + 2/3 = C
C = 8/3

There your equation of a line is
y = -(1/3)x + 8/3

6 0
3 years ago
Plz help! 20 points!
Colt1911 [192]
7. increasing; non-linear
8.A. y=4^x
9.A. y=6x
5 0
3 years ago
28 points !!!! help
RoseWind [281]

Answer:

12 cm

Step-by-step explanation:

The area (A) of a trapezium is calculated as

A = \frac{1}{2} h (a + b)

where h is the perpendicular height and a, b the parallel bases.

Here A = 45, h = 5, a = 6 and b = ?, thus

45 = \frac{1}{2} × 5 × (6 + b) = 2.5(6 + b) = 15 + 2.5b ( subtract 15 from both sides )

30 = 2.5b ( divide both sides by 2.5 )

b = 12

The measure of the other parallel side is 12 cm

8 0
3 years ago
Read 2 more answers
The following data show the brand, price ($), and the overall score for 6 stereo headphones that were tested by Consumer Reports
Olenka [21]

Complete Question

The complete question is shown on the first uploaded image

Answer:

a

SST = 1800

SSR = 1512.376

SSE = 287.624

b

coefficient of determination  is r^2 \approx 0.8402

What this is telling us is that 84.02% variation in dependent variable y can be fully explained by variation in the independent variable x

c

The correlation coefficient is   r = 0.917

Step-by-step explanation:

The table shown the calculated mean is shown on the second uploaded image

Let first define some term

SST (sum of squares total) : This is the difference between the noted dependent variable and the mean of this noted dependent variable

SSR(sum of squared residuals) : this can defined as a predicted shift from the actual observed values of the data  

SSE (sum of squared estimate of errors): this can be defined as the  sum of the square difference between the observed value and its mean

From the table

  SST = SS_{yy} = 1800

  SSR = \frac{SS^2_{xy}}{SS_{xx}} = \frac{4755^2}{14950} = 1512.376

  SSE =SST-SSR

          =1800 - 1512.376

           = 287.62

The coefficient of determination is mathematically represented as

               r^2 = \frac{SSR}{SST}

                    = 1-\frac{SSE}{SST}

                   r^2= 1-\frac{287.6237}{1800}

                  r^2 \approx 0.8402

The correlation coefficient is mathematically represented as

           r = \pm\sqrt{r^2}

Substituting values

            r = \sqrt{0.84020}

               r = 0.917

this value is + because the value of the coefficient of x in estimated regression equation(24.9 + 0.301x,) is positive

         

5 0
3 years ago
A band performed at halftime during the football game. There were 64 band members marching in 8 equal rows. How many band member
KiRa [710]
64/8=8

The answer is 8 band members in each row
3 0
3 years ago
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