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tiny-mole [99]
3 years ago
15

A formula has been developed from the observations that you have made . See if you can identify the parts of the equations.since

this formula for graphing uses the slope and the y - intercept , it’s called slope intercept form Y =Mx +6
Mathematics
1 answer:
earnstyle [38]3 years ago
7 0

M is the slope of the graph where as 6 is the y-intercept value.

Step-by-step explanation:

The slope intercept form follow the format of y=mx+c where m is the slope of the graph, and c is the y-intercept of the graph.

In this question,the formula is Y=Mx+6 where M is the slope of the graph and 6 is the y-intercept of the graph.

Learn More

Slope intercept form : brainly.com/question/10676927

Keyword : slope intercept form

#LearnwithBrainly

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Answer:

(0.25x, 0.25y)

Step-by-step explanation:

Since the origin is the center of the scale factor of dilation, we don't need to add or subtract anything

Multiplying the x and y values of the ordered pair by 0.25 represents what the value would be with the scale factor, meaning multiplication.

7 0
3 years ago
Vito avido is a sales representative for a company that sells roofing material. he receives a graduated commission of 5 percent
nexus9112 [7]
  • 23458 >20000

Hence commission will be 7%

\\ \rm\longmapsto 23458\times \dfrac{7}{100}

\\ \rm\longmapsto \dfrac{164206}{100}

\\ \rm\longmapsto 1642.06

7 0
3 years ago
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Answer:

x greater than and equal to -7

Step-by-step explanation:

Parabola touches at -7 and is going straight towards all positive integers

Therefore the domain is all numbers greater than or equal to -7
8 0
3 years ago
Tessa had $35. She bought a book for $7 and a magazine for $5. Which expression correctly shows the total money Tessa has left?
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4 years ago
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. Lightning Strikes It has been said that the probability of being struck by lightning is about 1 in 750,000, but under what cir
mrs_skeptik [129]

Complete Question

The complete question is shown on the first uploaded image

Answer:

a

      P(U |D ) = 0.198

b

   P(O\ n \ B) = 0.188

c

  P(O | B) =   0.498

Step-by-step explanation:

The total number of deaths is mathematically represented as

      T   =  16 +  23 + \cdots  +  16

        T   =623

The total number of deaths in 1996 - 2000 is mathematically represented as

     T_a =  16 +  23+ \cdots + 30

      T_a = 235

The total number of deaths in 2001 - 2005 is mathematically represented as

     T_b =  17 +  16 + \cdots + 23

      T_b = 206

The total number of deaths in 2006 - 2010 is mathematically represented as

     T_c =  15 +  17 + \cdots + 16

      T_d = 182

Generally the the probability that it would occur under the tree given that the death was  after  2000 is mathematically represented as

     P(U |D ) = \frac{P(A \ n\  U )}{P(A)}

Here  P(A \ n\  U ) represents the probability that it was after 2000 and it was under the tree and this is mathematically represented as

         P(A \ n\  U )   = \frac{Z}{ T}

Here Z is the total number of death under the tree after 2000 and it is mathematically represented as

         Z =  35 +  42

=>       Z =  77

=>       P(A \ n\  U )   = \frac{77}{ 623}

=>      

Also

     P(A) is the probability of the death occurring after 2000  and this is mathematically represented as

        P(A) =  \frac{T_b  +  T_c}{ T}

=>      P(A) =  \frac{ 206+  182}{623}

=>  

So

         P(U |D ) = \frac{\frac{77}{ 623} }{ \frac{ 206+  182}{623}}

=>      P(U |D ) = 0.198

Generally the probability that the death was from camping or being outside and was before 2001 is mathematically represented as

      P(O | B) = \frac{T_z}{ T}

Here T_z is the total number of death outside / camping before 2001  and the value is  117  

So

            P(O \ n \ B) = \frac{117}{623}

=>          P(O\ n \ B) = 0.188

Generally the probability that the death was from camping or being outside given that it was before 2001 is mathematically represented as

       P(O | B) =  \frac{ P( O \ n \ B)}{ P(B)}

Here P(B) is the probability that it was before 2001 , this is mathematically represented as  

          P(B ) =  \frac{T_a}{T}

=>       P(B ) =  \frac{235}{623}

So

          P(O | B) =  \frac{ \frac{117}{623}}{ \frac{235}{623}}

=>       P(O | B) =   0.498

5 0
3 years ago
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