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nikitadnepr [17]
3 years ago
7

How do you find the answer?

Mathematics
1 answer:
Jet001 [13]3 years ago
6 0
1)Sin(29)=x/(30cm)
x=Sin(29)30cm
so be A is correct.
2) Cos A= a/b is correct because it is not true according to triangle.
feedbacks!

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frutty [35]

Answer:

0.436 x 6

2.616

More info

Step-by-step explanation:

Brainliest or.. else..

4 0
3 years ago
Line l has a slope of 98. The line through which of the following pair of points is perpendicular to l? A. (−9,−6),(3,3) B. (9,−
Valentin [98]

We can employ some logic to reduce the answers we need to test. We know that the slope perpendicular to line l has to have a negative reciprocal slope, so a slope of-\frac{9}{8}. We see that in A and C, as x increases so does y. That means the slope of these equations are positive, which we don't want. Now for some algebra:

m=\frac{y_2-y_1}{x_2-x_1} \implies\\ B. \frac{6+2}{-6-9}=\frac{8}{-15} \\ D. \frac{3+5}{-6-3}=-\frac{8}{9}

We se that D has the correct slope so that must be the answer.

6 0
3 years ago
Read 2 more answers
Out of 400 applicants for a job, 179 are female and 72 are female and have a graduate degree. Step 2 of 2 : If 118 of the applic
Dafna11 [192]

Answer:

36/59 or 0.610

Step-by-step explanation:

P(female and degree)/P(degree)

72/118

36/59

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7 0
3 years ago
Junnie walked for 2.5 hours at a speed of 3.miles per hour. How far did Junnie walk?
Leona [35]

Answer:

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Step-by-step explanation:

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hope this can help you :-P

8 0
4 years ago
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You are given the following data, where X1 (final percentage in history class) and X2 (number of absences) are used to predict Y
vaieri [72.5K]

Answer:

Step-by-step explanation:

Hello!

Given the variables

Y: standardized history test score in third grade.

X₁: final percentage in history class.

X₂: number of absences per student.

<em>Determine the following multiple regression values.</em>

I've estimated the multiple regression equation using statistics software:

^Y= a + b₁X₁ + b₂X₂

a= 118.68

b₁= 3.61

b₂= -3.61

^Y= 118.68 + 3.61X₁ - 3.61X₂

ANOVA Regression model:

Sum of Square:

SS regression: 25653.86

SS Total: 36819.23

F-ratio: 11.49

p-value: 0.0026

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Hypothesis for the number of absences:

H₀: β₂=0

H₁: β₂≠0

Assuming α:0.05

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I hope this helps!

5 0
4 years ago
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