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Andre45 [30]
3 years ago
11

What is a line graph

Mathematics
2 answers:
8090 [49]3 years ago
8 0

Answer:

A graph with points connected by lines to show how something changes in value:

• as time goes by,

• or as something else changes.

Step-by-step explanation:

Sophie [7]3 years ago
7 0

Answer:

This is a line graph

Step-by-step explanation:

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What is the equations for f(x)?
Wittaler [7]

f(x) = -8\cdot 4^x


You reflect a function with respect to the x axis by changing its sign.


In fact, if you consider the two alternatives


x \mapsto f(x) and x \mapsto -f(x)


you can see that you're choosing opposite outputs for the same inputs.


In other words, one graph will be made of points like (x,f(x)), the other of points like (x,-f(x))


And the transformation


(x,y) \to (x,-y)


is exactly a reflection with respect to the x axis.

6 0
4 years ago
May anyone help me on this
In-s [12.5K]
Example:15/5=1/3 so that's an example
7 0
3 years ago
Read 2 more answers
Write a direct or inverse variation equation for each relation.
igor_vitrenko [27]

Answer:

6 it is 6

Step-by-step explanation:

6 0
3 years ago
Area of a square with the length of 100cm and a width of 2cm
Rashid [163]

Answer:

200cm^{2}

Step-by-step explanation:

the formula for working out the area is to multiply the length by the width.

so for this you would multiply 100 by 2 which gives you 200 cm squared

100*2=200cm^{2}

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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