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3 years ago

What is the value of Enter your answer in the box.

Mathematics

1 answer:

Katen [24]3 years ago

5 0

Answer:

x=40

Step-by-step explanation:

The sum of the angles of a triangle add to 180

x+102+38 = 180

Combine like terms

x + 140 = 180

Subtract 140 from each side

x+140-140 = 180-140

x = 40

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The domain of the function f(x)=3x-6/x is {-3, -1, 2, 4, 5}. What is the function's range?

Maslowich

f(x)=[3x-6]/x is {-3, -1, 2, 4, 5}

 f(-3)=[3(-3) -6]]/-3 = -15/-3 = 5
f(-1)=[3(-1) -6]]/-1= -9/-1 = 9
f(2)=[3(2) -6]]/2 = 0/2 = 0
f(4)=[3(4) -6]]/4 = 6/4 = 1.5
f(5)=[3(5) -6]]/5 = 9/5 = 1.8

answer is

c {5, 9, 0, 1.5, 1.8}

3 0

3 years ago

Read 2 more answers

during Sonia's trip across the country that she travel 2884 miles her trip took 7 Days find a unit rate to represent the average

wolverine [178]

You could find the unit rate by dividing 2884 miles by 7 days to get 412 miles/ day

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3 years ago

An office store pays a whole price of $120 for a laser printer and sells it for $174. What is the pecent mark up

Advocard [28]

Answer:

its by 54%

Step-by-step explanation:

because it is raising the price by making money by 54%. and that its using the calculator in any way.

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2 years ago

Professor wonders whether a student's homework average (X) could be used to predict their final grade in the course (Y) . She ca

Anna11 [10]

Answer:

The dependent variable is the final grade in the course and is the vriable of interest on this case.

H0: $\beta_1 = 0$

H1: $\beta_1 \neq 0$

And if we reject the null hypothesis we can conclude that we have a significant relationship between the two variables analyzed.

Step-by-step explanation:

On this case w ehave the following linear model:

$Y= 21.839 +0.724 X$

Where Y represent the final grade in the course and X the student's homework average. For this linear model the slope is given by $\beta_1 = 0.724$ and the intercept is $\beta_0 = 21.839$

Which is the dependent variable, and why?

The dependent variable is the final grade in the course and is the vriable of interest on this case.

Based on the material taught in this course, which of the following is the most appropriate alternative hypothesis to use for resolving this question?

Since we conduct a regression the hypothesis of interest are:

H0: $\beta_1 = 0$

H1: $\beta_1 \neq 0$

And if we reject the null hypothesis we can conclude that we have a significant relationship between the two variables analyzed.

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3 years ago

Pls help: √5 multiplied by √245

Luden [163]

I believe it is 35!

I hope this helps you, and don't forget to give this answer brainliest if it really helped!

5 0

2 years ago