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miskamm [114]
3 years ago
5

Provide the reflected ordered pair for each of the given ordered pairs. Reflect the ordered pair ( − 4 , 5 ) (-4, 5) across the

y-axis Reflect the ordered pair ( 0 , 3 ) (0, 3) across the x-axis ​
Mathematics
1 answer:
levacccp [35]3 years ago
6 0

Answer:

a) (4,5)

b) (0,-3)

Step-by-step explanation:

We have to perform the following reflection over given ordered pair.

a) Reflect the ordered pair (-4,5) across the y-axis

Reflection over y-axis:

r: (x,y)\rightarrow (-x,y)

Thus, (-4,5) will be reflected over y-axis as

r: (-4,5)\rightarrow (-(-4),5) = (4.5)

b) Reflect the ordered pair (0,3) across the y-axis

Reflection over x-axis:

r: (x,y)\rightarrow (x,-y)

Thus, (0,3) will be reflected over x-axis as

r: (0,3)\rightarrow (0,-(3)) = (0,-3)

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Answer:

Probability = \frac{3}{7}

Step-by-step explanation:

Given

Electrician = 6

Mechanic = 8

Required

Determine the probability of selecting an electrician

First, we need the total number of employees;

Total = n(Electrician) + n(Mechanic)

Total = 6 + 8

Total = 14

Next, is to determine the required probability using the following formula;

Probability = \frac{n(Electrician)}{Total}

Probability = \frac{6}{14}

Divide numerator and denominator by 2

Probability = \frac{3}{7}

<em>Hence, the probability of selecting an electrician is 3/7</em>

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3 years ago
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Answer:

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Step-by-step explanation:

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The product of powers property.
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steposvetlana [31]

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$65.00

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Compensation professionals in XYZ Company use regression analysis to determine the pay rates of its marketing professionals. The
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Answer: This means that the salaries of their marketing professionals are not closely related to their job titles. In further explanation, this shows that a professional with a higher job title, may be paid a lower salary when compared to a professional with a lower job title.

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Step-by-step explanation: R-Squared is a measure used in statistics, to represent how much proportion of the dependent variables that is explained by the independent variables. A high value of R^2 shows a very low correlation between the dependent and independent variables, while a low value of R^2 shows that the dependent and independent variables are closely related. The R-Squared value are a measure of percentage value.

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