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Lerok [7]
3 years ago
12

Find the slope of the line. A. -1/6 B. 1/6 C. -6

Mathematics
2 answers:
AlladinOne [14]3 years ago
5 0
The answer is C or -6
8090 [49]3 years ago
5 0
It’s a because you go left 1 unit & 6 units up but since the line is going down it’s a negative slope
You might be interested in
I need your help plz
vlada-n [284]

Answer:

d = -10/7 = -1 3/7

that is the answer for number 1.

For number 2. the answer is U = 13/4 = 3 1/4 = 3.25

step by step explanation

multiply both sides of the equation by 4 the least common multiple of 2,4

2 (5 x 2 + 1) -4 u = 9 then multiply 5 and 2 to get 10

2 (10 + 1) -4u =9

then add 10 and one to get 11

2 x 11 -4u =9

then multiply two and 11 to get 22

22 -4u = 9

then subtract 22 from both sides

subtract 22 - 9 to get -13

-4u = -13 then undo multiplication by dividing both sides divide both sides by 4-13 / -4 can be divided by positive 13/4

your answer is 13/4

7 0
2 years ago
State the horizontal asymptote of the rational function.<br> f(x) = x^2 + 9x-9/x-9
dusya [7]

Answer:

no horizontal asymptote

5 0
3 years ago
PLZ HELP ME!!! NEED HELP ASAP!!!​
Kay [80]

Answer:

it would be d

Step-by-step explanation:

5 0
3 years ago
Suppose that the data for analysis includes the attributeage. Theagevalues for the datatuples are (in increasing order) 13, 15,
Bas_tet [7]

Answer:

a) \bar X = \frac{\sum_{i=1}^{27} X_i }{27}= \frac{809}{27}=29.96

Median = 25

b) Mode = 25, 35

Since 25 and 35 are repeated 4 times, so then the distribution would be bimodal.

c) Midrange = \frac{70+13}{3}=41.5

d) Q_1 = \frac{20+21}{2} =20.5

Q_3 =\frac{35+35}{2}=35

e) Min = 13 , Q1 = 20.5, Median=25, Q3= 35, Max = 70

f) Figura attached.

g) When we use a quantile plot is because we want to show the percentage or the fraction of values below or equal to an specified value for the distribution of the data.

By the other hand the quantile-quantile plot shows the quantiles of the distribution values against other selected distribution (specified, for example the normal distribution). If the points are on a straight line we assume that the data values fit very well to the hypothetical distribution selected.

Step-by-step explanation:

For this case w ehave the following dataset given:

13, 15, 16, 16, 19, 20, 20, 21, 22, 22, 25, 25, 25, 25, 30,33, 33, 35, 35, 35, 35, 36, 40, 45, 46, 52, 70.

Part a

The mean is calculated with the following formula:

\bar X = \frac{\sum_{i=1}^{27} X_i }{27}= \frac{809}{27}=29.96

The median on this case since we have 27 observations and that represent an even number would be the 14 position in the dataset ordered and we got:

Median = 25

Part b

The mode is the most repeated value on the dataset on this case would be:

Mode = 25, 35

Since 25 and 35 are repeated 4 times, so then the distribution would be bimodal.

Part c

The midrange is defined as:

Midrange = \frac{Max+Min}{2}

And if we replace we got:

Midrange = \frac{70+13}{3}=41.5

Part d

For the first quartile we need to work with the first 14 observations

13, 15, 16, 16, 19, 20, 20, 21, 22, 22, 25, 25, 25, 25

And the Q1 would be the average between the position 7 and 8 from these values, and we got:

Q_1 = \frac{20+21}{2} =20.5

And for the third quartile Q3 we need to use the last 14 observations:

25, 30,33, 33, 35, 35, 35, 35, 36, 40, 45, 46, 52, 70

And the Q3 would be the average between the position 7 and 8 from these values, and we got:

Q_3 =\frac{35+35}{2}=35

Part e

The five number summary for this case are:

Min = 13 , Q1 = 20.5, Median=25, Q3= 35, Max = 70

Part f

For this case we can use the following R code:

> x<-c(13, 15, 16, 16, 19, 20, 20, 21, 22, 22, 25, 25, 25, 25, 30,33, 33, 35, 35, 35, 35, 36, 40, 45, 46, 52, 70)

> boxplot(x,main="boxplot for the Data")

And the result is on the figure attached. We see that the dsitribution seems to be assymetric. Right skewed with the Median<Mean

Part g

When we use a quantile plot is because we want to show the percentage or the fraction of values below or equal to an specified value for the distribution of the data.

By the other hand the quantile-quantile plot shows the quantiles of the distribution values against other selected distribution (specified, for example the normal distribution). If the points are on a straight line we assume that the data values fit very well to the hypothetical distribution selected.

6 0
3 years ago
What is 1 plus 6 mines 2 plus 5
Nezavi [6.7K]

Answer:

10

Step-by-step explanation:

1+6=7

7-2=5

5+5=10

4 0
3 years ago
Read 2 more answers
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