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3 years ago

Slope m = -2 and y -intercept b = -1

2 answers:

7 0

<em>y = mx + b, </em> is the equation you will be following.

<u>Information given:</u>
m = -2
b = -1

plug in -2 for m, and -1 for b

y = -2x - 1

y = -2x - 1 is your equation.

hope this helps

algol [13]3 years ago

3 0

Y = -2m -1 is your equation

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Answer:

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Step-by-step explanation:

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Therefore, the population in the year 2025 will be

$19169000[1+\frac{0.6 \times 25}{100} ]= 22,044,350$ (Answer)

For China: Population in 2000 is 1,261,832,000 and it is increasing steadily at a rate of 0.9% per year.

Therefore, the population in the year 2025 will be

$1261832000[1+\frac{0.9 \times 25}{100} ]= 1,545,744,200$ (Answer)

For Mexico: Population in 2000 is 100,350,000 and it is increasing steadily at a rate of 1.8% per year.

Therefore, the population in the year 2025 will be

$100350000[1+\frac{1.8 \times 25}{100} ]= 145,507,500$ (Answer)

For Zaire: Population in 2000 is 51,965,000 and it is increasing steadily at a rate of 3.1% per year.

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$51965000[1+\frac{3.1 \times 25}{100} ]= 92,237,875$ (Answer)

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2 years ago

Which number sentence is always true?

Vaselesa [24]

Answer:

Step-by-step explanation:

The answer is ''B'' cause it is the only true statement

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3 years ago

If you add Natalie's age and Fred's age, the result is 36. If you add Fred's age to 4 times Natalie's age, the result is 72.

kozerog [31]

The known facts

the sum of Natalie's age and Fred's age is 36
the sum of Fred's age times four and Natalie's age is 72

Now, let's set up the equations where N is Natalie's age and F is Fred's age.

N + F = 36 ---- equation 1

N + 4F = 72 ---- equation 2

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Thus Fred is 12 years old, and Natalie is 24 years old.

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2 years ago

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2 years ago

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photoshop1234 [79]

Complete Question:

Attached below as picture.

Answer:

From first graph there is no linear pattern so here linearity assumption violated.

From second graph there is observation is in some pattern like funnel or v shape so there is no constant variance occur that is there is no constant variance for error.

Constant variance for error occur when in residual plot all observation are in scatter everywhere.

From third graph we can say there is positive distribution but for regression analysis we need symmetric that is normal distribution.

Step-by-step explanation:

See graphs attached below.

8 0

3 years ago

Slope ​m ​ = -2 and ​y ​ -intercept ​b ​ = -1

Slope m = -2 and y -intercept b = -1