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iVinArrow [24]
3 years ago
8

Please answer this correctly

Mathematics
1 answer:
lbvjy [14]3 years ago
6 0
A is the correct answer
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Help ༎ຶ‿༎ຶ i dont get it​
svetoff [14.1K]

Answer:

Step-by-step explanation:

You know the lengths of two sides and the angle between them, so use the Law of Cosines to find the third side.

x^2 = 10.5^2+ 5.4^2 -2(10.5)(5.4)cos20°

x ≈ 5.73 units

5 0
3 years ago
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Suppose that during it's flight, the elevation `e` (in feet) of a certain airplane and its time `t,` in minutes since takeoff, a
kifflom [539]

Answer:

Suppose that during its flight, the elevation e (in feet) of a certain airplane and its time ... since takeoff, are related by a linear equation. Consider the graph of this equation, with time represented on the horizontal axis and elevation on the vertical axis. ... Unit 3; Linear Relationships Lesson 9: Slopes Don't Have to be Positive.

Step-by-step explanation:

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2 years ago
Which equation is equivalent to -2(2 − 2x) = 4 − 8(1 − x)
Kay [80]

Answer:

8 = 4x OR 0 = 4x

Step-by-step explanation:

I not %100 sure or it could be 0 = 4x

EITHERONE

6 0
2 years ago
7,231 divided by 24 is?
Archy [21]
301.2916666667 is your answer.
7 0
3 years ago
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Question 1 (10 points). (a) Explain the difference between linear and logistic regression. (Explain at least two differences and
cricket20 [7]

Answer:

(a) <em>Linear regression</em> is used to estimate dependent variable which is continuous by using a independent variable set. <em>Logistic regression</em> we predict the dependent variable which is categorical using a set of independent variables.

(b) Finding the relationship between the Number of doors in the house vs the number of openings. Suppose that the number of door is a dependent variable X and the number of openings is an independent variable Y.

Step-by-step explanation:

(a) Linear regression is used to estimate dependent variable which is continuous by using a independent variable set .whereas In the logistic regression we predict the dependent variable which is categorical using a set of independent variables. Linear regression is regression problem solving method while logistic regression is having use for solving the classification problem.

(b) Example: Finding the relationship between the Number of doors in the house vs the number of openings. Suppose that the number of door is a dependent variable X and the number of openings is an independent variable Y.

If I am to predict that increasing or reducing the X will have an effect on the input variable X or by how much we will make a regression to find the variance that define the relationship or strong relationship status between them. I will run the regression on any computing software and check the stats result to measure the relationship and plots.

3 0
3 years ago
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