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Hatshy [7]
3 years ago
10

Ella's purse has different accessories.

Mathematics
2 answers:
Tom [10]3 years ago
5 0

Answer:

option B...for every headband there are two hair ties

Maslowich3 years ago
4 0

Answer:

c

Step-by-step explanation:

i think it c

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What is 39 squared?
Oksanka [162]
39 squared = 39²

'Squared' means to put to the power of 2.

39*39 = 1521

Answer:   39² or 1521
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3 years ago
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A car is approaching a building. When it is 300 ft away, the angle of depression from the top of the building to the car is 42°.
labwork [276]

Answer: 333.2ft

Step-by-step explanation:

We can draw a triangle rectangle, where the distance between the base of the building and the car is one cathetus (300ft)

The height of the building is the other cathetus.

Now, we know that the angle of depression from the top of the building to the car is 42°

This angle is measured from a perpendicular line in from the building, so the "top angle" of the triangle rectangle will be:

90° - 42° = 48°

if we steep on this angle, the 300ft cathetus is the opposite cathetus and the height of the building is the adjacent cathetus.

Here we can use the relation:

Tan(A) = Opposite cathetus/adjacent cathetus:

Then:

Tan(48°) = H/300ft

Tan(48°)*300ft = H = 333.2ft

7 0
3 years ago
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The similarities and differences between correlation and regression Correlation and regression are two closely related topics in
Anna [14]

Answer:

Both variables Can tell you the degree to which a linear relationship exists between two variables.

Step-by-step explanation:

Correlation and regression are two statistical concepts that are closely related and complement each other. They are powerful tools used in modern-day machine learning and artificial intelligence.

Correlation evaluates the linear relationship between two variables, using regression as a tool to assess the degree at which a dependant variable changes ( either increasing or decreasing ) based on the value of an independent variable.

The correlation coefficient is the degree of the linear relationship between two variables, ranging from zero ( for non-linear) to one ( for highly linear).

4 0
3 years ago
7.5×$6.74 show the work
Sindrei [870]

Answer:7.50x6.74 =50,5500


Step-by-step explanation:


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3 years ago
Will mark 5 stars
lyudmila [28]
R is also known as the correlation coefficient. Hence your statement is ...
   B. False
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