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Feliz [49]
3 years ago
11

Write the equation for a line in slope-intercept form (y=mx+b) that

Mathematics
2 answers:
chubhunter [2.5K]3 years ago
6 0
The answer to it is y=-2x-1 good luck
dalvyx [7]3 years ago
3 0

Answer:

y = -2x - 1

Step-by-step explanation:

Parallel lines have the same slope, so the slope will also be -2.

Plug this slope and the given point into the equation y = mx + b and solve for b:

y = mx + b

5 = -2(-3) + b

5 = 6 + b

-1 = b

Then, plug this and the slope into the equation:

y = -2x -1 will be the equation

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Problem: One-half of Alvin's age two years from now plus one-third of his age three years ago
Nadya [2.5K]

Answer:

24.

Step-by-step explanation:

Let's make the answer a variable, alright?

20 = (x - 3)/3 + 3(x + 2)

Get rid of the fractions.

120 = 2(x-3) + 3(x + 2)

120 = 2x - 6 + 3x + 6

120 = 5x

x = 24.

24 is your answer.

6 0
3 years ago
My question goes if your good at rounding what is 98.488578018 rounded
professor190 [17]

Answer:

Im not sure what you want it to be rounded but heres the answers:

Whole number: 98

Tenths: 98.5

Hundredths: 98.49

Thousandths: 98.489

Step-by-step explanation:

4 0
3 years ago
What is the inverse of the given relation? y=7x^2+6
77julia77 [94]

Answer:

Step-by-step explanation:

7 0
3 years ago
Someone please help meeee
aalyn [17]

Answer: 56.5 is the commission on 950.

Step-by-step explanation:

500x0.05=25

950-500=450

450x0.07=31.5

25+31.5=56.5

6 0
3 years ago
Identify the two types of incorrect decisions in a hypothesis test. For each incorrect​ decision, what symbol is used to represe
-Dominant- [34]

Answer:

Type I error and Type II error

Explanation:

Type I and Type II errors are statistical errors made in hypothesis testing where an accepted hypothesis is actually the false hypothesis and the other true.

Type I error occurs when the chosen hypothesis is the alternative hypothesis which is false since the null hypothesis is true. We reject the null hypothesis which is actually true.

Type II error occurs when we accept or fail to reject the null hypothesis which is false and reject the alternative hypothesis which is true.

The probability of making a Type I error is represented by your alpha level (α)(we reject when below p-value)

The probability of a type-II error is represented by β which is beta.

5 0
3 years ago
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