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ddd [48]
3 years ago
15

It's number nine/ what equation is it plz help

Mathematics
2 answers:
sasho [114]3 years ago
6 0
I think the answer is C
klio [65]3 years ago
3 0
I think the answer is B sorry if it's wrong
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Show that the plane and line with the given equations intersect, and then find the acute angle of intersection between them. (Gi
Reptile [31]

Answer:

  angle of intersection: 5.2°

Step-by-step explanation:

The direction vector normal to the plane is ...

  n = (1, 1, 3)

The direction vector of the line is ...

  m = (1, -3, 1)

Then the angle θ between them can be found from the dot product:

  n•m = |n|·|m|·cos(θ)

  (1·1 +1(-3) +3·1) = 1 -3 +3 = 1 = √(1²+1²+3²)·√(1²+(-3)²+1²)·cos(θ)

  1 = 11·cos(θ)

  θ = arccos(1/11) ≈ 84.8°

This is the angle between the line and the normal to the plane, so the angle between the line and the plane will be the complement of this. Since this angle is not 90°, <em>the line and plane must intersect</em>.

  acute angle = 90° -84.8° = 5.2°

_____

The attached graph shows the line and plane meet at a shallow angle, consistent with the above answer.

8 0
3 years ago
ANSWER AS QUICK AS POSSIBLE WILL GET BRAINIEST!!!!!
Marysya12 [62]

Answer: da vinkiy

Step-by-step explanation:

5 0
3 years ago
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Write an equation in point-slope form for the line that passes through (6,4) with a slope of -4
Harman [31]

Step-by-step explanation:

<u>y</u> - <u>4</u> = -4

x - 6

y - 4 = -4x + 24

y = -4x + 24 + 4

y = -4x + 28

3 0
3 years ago
How many milliliters are in a liter?
Tasya [4]
1,000 milliliters are in a liter. I hope I helped :)
5 0
3 years ago
If the correlation between height and weight of a large group of people is 0.75​, find the coefficient of determination​ (as a​
Shtirlitz [24]
Independent variable is the predictor variable which is the height and dependent variable is the response variable which is weight in this scenario.

The square of correlation coefficient gives the coefficient of determination. It is denoted by R² (R squared).

We are given:
R = 0.75

So,
R²  = 0.75²

R² = 0.5625

R²  = 56.25 %
The coefficient of determination tells how much of the trend of dependent data can be explained by the independent data using the linear regression model. So in the given case, Height can explain 56.25% of the trend in the weight.
4 0
3 years ago
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