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satela [25.4K]
2 years ago
6

Piral Review Solve for x.

Mathematics
1 answer:
Darina [25.2K]2 years ago
7 0
Answer: x=65

step by step explanation:

since the two angles are linear pairs that would make the sum of the two angles equal out to 180 degrees (a straight line), therefore, the equation used would be 2x+50=180

to find x you must solve the equation 2x+50=180

work shown:

2x+50=180
2x=130
x=65
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There's 2 questions here that need to be answered.<br><br><br> Find the value of each variable.
gladu [14]

Answer:

5. x= 13 y= 18.4

6.

Step-by-step explanation:

question 5:

tan45=x/13

multiply both sides by 13 to get x by its self.

end up with 13×tan45 so put that in the calculator to get x

then you do cos45= 13/y

multiply by y on both sides.

end up with y×cos45=13

divide the cos45 by both sides

put 13/cos45 to get y

question 6:

sin30=4/x

multiply x on both sides

end with x×sin30 =4

divide sin30 on both sides

put 4/sin30 in a calculator to get x

same thing again but with tan30 ahaha

6 0
3 years ago
Owen made 60% of the shots he attempted during his hockey practice. He made 18 shots. How many shots did Owen attempt during his
Dafna11 [192]

Answer:

11 shots

Step-by-step explanation:

  1. 60% of 18 = 10.8
  2. 10.8 rounded = 11

Why we did this:

  1. Owen made 60% of the shots he made, and he made 18 shots in total. Therefore, we would take 60% of 18.
  2. The answer we get is 10.8, but we can't have a part of a shot. That wouldn't make sense. Therefore, we have to round up to 11 shots.

So therefore, Owen made 11 of 18 shots he attempted.

3 0
3 years ago
Evaluate the problem -3-(+4)
Tcecarenko [31]

Answer:

-7

Step-by-step explanation:

-3 - (4) = ?

Remove parentheses:

=  -3 - 4

Subtract the numbers:

= -7

3 0
3 years ago
Read 2 more answers
For each of parts (a) through (d), indicate whether we would generally expect the performance of a flexible statistical learning
olga_2 [115]

Step-by-step explanation:

First, note that a flexible statistical learning method refers to using models that take into account agree difference in the observed data set, and are thus adjustable. While the inflexible method usually involves a model that has no regard to the kind of data set.

a) The sample size n is extremely large, and the number of predictors p is small. (BETTER)

In this case since the sample size is extremely large a flexible model is a best fit.

b) The number of predictors p is extremely large, and the number of observations n is small. (WORSE)

In such case overfiting the data is more likely because of of the small observations.

c) The relationship between the predictors and response is highly non-linear. (BETTER)

The flexible method would be a better fit.

d) The variance of the error terms, i.e. σ2=Var(ϵ), is extremely high. (WORSE)

In such case, using a flexible model is a best fit for the error terms because it can be adjusted.

6 0
2 years ago
The residents of a city voted on whether to raise property taxes. The ratio of yes votes to no votes were 6 to 5. If there were
Natasha_Volkova [10]

3020

Step-by-step explanation:

ans.

Total ratio of votes=6+5

=11

1 ratio of votes=6644÷11

=604

Ratio of no votes=5

Number of no votes=Ratio of no votes×1 ratio of no votes

=604×5

3020

8 0
3 years ago
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