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photoshop1234 [79]
2 years ago
8

Can you help me with something ​

Mathematics
2 answers:
Anna11 [10]2 years ago
8 0

Answer:

D. 1

Step-by-step explanation:

7,491 times 19 yields 142, 329

Dvinal [7]2 years ago
4 0

Answer:

Step-by-step explanation:

Dans une operation de promotion, un magasin accorde une remise de 5% sur les prix affiché.

Le montant de la remise est-il proportionnel au prix affiché? Quel est le coefficient de proportionnalité? Le montant du prix a payer après remise est-il proportionnel au prix affiché?

Determiner la fonction f qui, au prix affiché x, fait correspondre le prix a payer après remise.

Representer graphiquement la fonction f pour 0<x<1000

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1/4 divided by 5/6 = 1/a× b/c
motikmotik

Answer:

a= 24b/5c b= 5ac/24 c= 24b/5a

Step-by-step explanation:

Put the problem into a calculator that can solve with variables.

8 0
2 years ago
What is 5 3/8 - 3 2/5 ( like fractions w a whole number )
Leona [35]

Answer:

1 39/40

Step-by-step explanation:

8 0
3 years ago
Read 2 more answers
Please solve<br>x^2+x-6006=0​
Ratling [72]

Step-by-step explanation:

x^2+x-6006=0

x^2+78x-77x-6006=0

x(x+78)-77(x+78)=0

(x-77)(x+78)=0

=>x=77 or x=78

7 0
3 years ago
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
Age(years) Total( frequency)
xxTIMURxx [149]

Answer:

40

Step-by-step explanation:

7 0
3 years ago
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