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ale4655 [162]
3 years ago
11

Solve for x and justify your answer ​

Mathematics
1 answer:
Scorpion4ik [409]3 years ago
3 0
The answer is 51°.

The top two lines are parallel to each other. Therefore alternate interior angles theorem applies. The bottom right corner that is underneath the line (for lack of a better description) is also 58°.

We also know that a triangle equals 180°. So 58+71= 129°.

So to find that missing angle we subtract 129 from 180 to get the 51°.
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50-50 on both because there 3 even and 3 odd numbers

4 0
3 years ago
Read 2 more answers
Math! Write systems of equations from context!
lord [1]

The variables are

  • x = number of mini hot dogs.
  • y = number of mozzarella sticks.

And the system of equations is:

x*60 + y*70 = 1080

x = y + 5

<h3>How to write the system of equations?</h3>

First, we need to define the variables that we will use on our system.

  • x = number of mini hot dogs.
  • y = number of mozzarella sticks.

We know that each hot dog has 60 calories and each mozzarella stick has 70 calories, and the total number of calories is 1080, then the first equation of our system is:

x*60 + y*70 = 1080

We also know that there are 5 more mini hot dogs than mozzarella sticks, then the second equation is:

x = y + 5

Then the system of equations that models the given situation is:

x*60 + y*70 = 1080

x = y + 5

Learn more about systems of equations:

brainly.com/question/13729904

#SPJ1

7 0
1 year ago
I need help ASAP please
natta225 [31]

Answer:

2j+j =21

Step-by-step explanation:

if j is Jas

Henry is 2 × Jas; which is 2j

so

j = Jas

2j = Henry

Henry + Jas = 21

input values for Jas and Henry

2j + j = 21

3 0
4 years ago
Determine the equation of the graph, and select the correct answer below.
VMariaS [17]

Answer:

oh ya i need that my jdjdkdkdkdd

6 0
3 years ago
With regard to a​ regression-based forecast, the standard error of the estimate gives a measure of A. the variability around the
Travka [436]

Answer:

B. the variability around the regression line.

Step-by-step explanation:

The standard errors represents the distance (how sparse) the observed values fall from the regression line.

Standard errors for regression are measures of the spread of variables around the average (regression line)

The standard error is dependent on the standard deviation of the observations and the reliability of the test.

When the test is perfectly reliable, the standard error is zero and when unreliable, it is equal to the standard deviation of the observations.

8 0
3 years ago
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