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Ulleksa [173]
3 years ago
14

Which numbers are a distance of 2 units from 8 on a number line?

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

Step-by-step explanation:

0 10

0-6

this is the answer. I am sure

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Can somebody help me with my question i will be so happy if you will;)
nlexa [21]

Answer:

see explanation

Step-by-step explanation:

Point A is the Incentre of the triangle

This is the point where the 3 angle bisectors intersect

The incentre is equally far away from the triangle's 3 sides , then

AM = AL = 6

4 0
3 years ago
a car rent is $220 per week plus $0.25 per mile. Find the rental cost for a two week trip of 500 miles for a group of three peop
JulsSmile [24]
Here, Equation is: C = 220x + 0.25y
Where x = number of weeks
y = Distance  in miles,

Now, C = 220(2) + 0.25(500)
C = 440 + 125
C = 565

In short, Your Answer would be $565

Hope this helps!
8 0
3 years ago
Plot three points on the coordinate plane and label them a,b,c (be sure that all three points do not lie in a straight line) now
tensa zangetsu [6.8K]
It would be three lines and the shape would be a triangle
3 0
3 years ago
Read 2 more answers
Thời gian vận chuyển hàng hóa trên tuyến đường AB là biến ngẫu nhiên X có phân phối
Goshia [24]

Answer:

Thời gian vận chuyển hàng hóa trên tuyến đường AB là biến ngẫu nhiên X có phân phối

chuẩn với trung bình   5 giờ, độ lệch chuẩn   0, 25 giờ.

a. Chuyến có thời gian lớn hơn 5,2 ( ) /100   a b  giờ được xem là trễ, tính tỉ lệ chuyến trễ?

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
Find the linear regression equation for the transformed data. x=1,2,3,4,5 y=13,19,37,91,253 log y=1.114,1.279,1.568,1.959,2,403
Talja [164]

Answer:

The answer is OPTION (D)log(y)=0.326x+0.687

<h2>Linear regression:</h2>

It is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y)

The Linear regression equation for the transformed data:

We transform the predictor (x) values only. We transform the response (y) values only. We transform both the predictor (x) values and response (y) values.

(1, 13) 1.114

(2, 19) 1.279

(3, 37) 1.568

(4, 91) 1.959

(5, 253) 2.403

X            Y           Log(y)

1              13           1.114

2             19         1.740

3             37        2.543

4             91        3.381

5            253      4.226

Sum of X = 15

Sum of Y = 8.323

Mean X = 3

Mean Y = 1.6646

Sum of squares (SSX) = 10

Sum of products (SP) = 3.258

Regression Equation = ŷ = bX + a

b = SP/SSX = 3.26/10 = 0.3258

a = MY - bMX = 1.66 - (0.33*3) = 0.6872

ŷ = 0.3258X + 0.6872

The graph is plotted below:

The linear regression equation is  log(y)=0.326x+0.687

Learn more about Linear regression equation here:

brainly.com/question/3532703

#SPJ10

6 0
2 years ago
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