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icang [17]
2 years ago
8

This table represents a linear function. x y 0 5 5 15 This graph represents another function.The greater unit rate of the two fu

nctions is . The greater y-intercept of the two functions is

Mathematics
2 answers:
Lunna [17]2 years ago
6 0

The greater unit rate (slope) of the two functions is 2 (of the first function).

The greater y-intercept of the two functions is 6 (of the second function).

The unit rate (slope) of a linear function is the rise (or fall) in the independent variable for a unit change in the dependent variable.

When the linear function goes through the points (x₁, y₁) and (x₂, y₂), then the unit rate (slope) can be calculated as (y₂ - y₁)/(x₂ - x₁).

The first function goes through the points (0, 5) and (5, 15).

Thus unit rate (slope) of the first function = (15 - 5)/(5 - 0) = 2.

The second function goes through the points (0, 6) and (-4, 0).

Thus unit rate (slope) of the second function = (6 - 0)/(0 - (-4)) = 1.5.

Therefore, the greater unit rate (slope) of the two functions is 2 (of the first function).

The y-intercept of a linear function is the y-coordinate of the point at which the graph of the function intersects the y-axis. It is also shown as the point (0, b).

The y-intercept of the first function is 5, as it passes through the point (0, 5).

The y-intercept of the second function is 6, as it passes through the point (0, 6).

Therefore, the greater y-intercept of the two functions is 6 (of the second function).

Learn more about linear functions at

brainly.com/question/4025726

#SPJ10

IceJOKER [234]2 years ago
6 0

Answer:

2 and 6

Source:

Trust me bro

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Answer:

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Step-by-step explanation:

Data given and notation

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\bar X_{2}=106 represent the mean for the sample 2

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Concepts and formulas to use

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z-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.

Calculate the statistic

First we need to calculate the mean and deviation for each sample, after apply the formulas (2) and (3) we got the following results:

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