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algol [13]
3 years ago
7

I need to know the solution to this problem

Mathematics
1 answer:
Readme [11.4K]3 years ago
5 0

54x^5 (49x - 54) (7x^7 -9x^6)^17

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What's n = 3 x 45 for 5th grade math please cause I'm not sure how this math goes
Drupady [299]
N=135. 45+45+45=135.
6 0
3 years ago
Simplify the following expression -12(5x-4)
faltersainse [42]
The answer would be 60x-48
3 0
3 years ago
Read 2 more answers
Which one of the following is not closed under the operation being performed
Sergeu [11.5K]
Remember that polynomials are closed under addition, subtraction, and multiplication, but they are not closed under division. The only division you have there is B; therefore the correct answer is B.

A. (14x-2)3(x-2)=14 x^{2} -90x+10. The result is still a polynomial; therefore, answer A is incorrect.

B. \frac{(14x-2)}{3(x-2)} =  \frac{14}{3} with a remainder of 26. The result is not a polynomial anymore; therefore, B is the correct answer.

C. (14x-2)+3(x+2)=17x+4. The result is still a polynomial; therefore, answer C is incorrect.

D. (14x-2)+3(x+2)=17x+4. The result is still a polynomial; therefore, answer D is incorrect.
4 0
3 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.

3 0
2 years ago
4.) Find the quotient<br><br> 20 ÷ 1/4<br><br><br> A.) 5<br> B.) 40<br> C.) 10<br> D.) 80
Mazyrski [523]

1/4 of 20 is 5

A is the answer

7 0
3 years ago
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