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ratelena [41]
3 years ago
12

Which equation is an identity?

Mathematics
1 answer:
Luba_88 [7]3 years ago
5 0

Answer:

  3w + 8 – w = 4w – 2(w – 4)

Step-by-step explanation:

The simplified forms of each of these equations are ...

  • 2w +8 = 2w +8 . . . . . .the identity you're looking for
  • 7m -5 = 7m +7 . . . . . . never true
  • -3y +3 = -3y -6 . . . . . . never true
  • -2v +6 = -2v -6 . . . . . . never true
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What are the intercepts of this line?
Fiesta28 [93]

Answer:

x-intercept: -1

y-intercept: 0.5

Step-by-step explanation:

The intercept for each is where the other coordinate is at 0.

7 0
1 year ago
What is an equation of the line with slope 3/2 and y-intercept −1?
Yuliya22 [10]

Answer:

Aloha,

Hope you are having a wonderful day, y=1.5x-1 is your answer. Hope this helps.

noʻu ka hauʻoli


5 0
3 years ago
Read 2 more answers
one x-intercept for a parabola is at the point (-6,0) find the other x-intercept for the parabola defined by this equation y=x^2
Tanya [424]
Hello.

First off, you can factor this equation to find the missing x-intercept.

y = x² + 8x + 12
y = (x + 6)(x + 2)

Then, you can use the zero product property to find the x values.

x + 6 = 0       x + 2 = 0
    - 6  - 6          - 2  - 2
x = -6            x = -2

As an ordered pair: (-6, 0) and (-2, 0)

Thus, your answer is x = -6, -2.
6 0
3 years ago
Which statements about residuals are true for the least-squares regression line? I. A random scattering of residuals indicates t
Daniel [21]

Answer:

II. The sum of the residuals is always 0.

Step-by-step explanation:

A least squares regression line is a standard technique in regression analysis used to make the vertical distance obtained from the data points running to the regression line to become very minimal or as small as possible.

For any least-squares regression line, the sum of the residuals is always zero.

Basically, residuals are used to measure or determine whether or not the line of regression is a good fit or match for the data by subtracting the difference between them i.e the predicted y value and the actual y value, for the x value respectively.

Hence, the statement about residuals which is true for the least-squares regression line is that the sum of the residuals is always zero (0).

7 0
3 years ago
Please I need do know this asap! Give ping brainliest!
Marizza181 [45]

Answer:

A) 19

B) -5

C) 15

D) -6

6 0
3 years ago
Read 2 more answers
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