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vagabundo [1.1K]
3 years ago
15

Answer: a. -17 b. -8 c. -2 d. 2 e. 5 f. 8 g. 15

Mathematics
1 answer:
melisa1 [442]3 years ago
4 0

Answer:

f

Step-by-step explanation:

look at it

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(4x³-4+7x)-(2x³-x-8)
Ket [755]
<span>(4x³-4+7x)-(2x³-x-8) = </span>4x³-4+7x<span> - </span>2x³ + x+8 = (4x³-2x³) + (7x+x) -4+8 = 

= 2x³ + 8x +4

(4x³-4+7x)-(2x³-x-8) = 2x³ + 8x +4
4 0
3 years ago
Help me find next terms
Elena L [17]

Answer:

Step-by-step explanation:

letter H is 324, they are multiplying by 3 each time

letter k is multiplying by 1.5 each time so your next term is 10.125

i cant fully see the other, but i hope this helps!!!

7 0
3 years ago
On number 5 how do you explain how you found your answer
aivan3 [116]

30 girls , 12 were selected

40 boys, 16 were selected

We can simplify these down by finding the Greatest Common Factor in both girls and boys:

30:12 .... 15:6 .... 1 : 2.5 30/12 .... 15/6 .... 2.5

40:16 .... 20:8 .... 1 : 2.5 OR 40/16 .... 20/8 .... 2.5

They are equal ratios because their most simplified ratios/fractions are equivalent

8 0
3 years ago
What is 90 is exponential form?<br> 2^__ * 3^__ * 5^__
Sloan [31]
90/2=45
45/3=15
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3 0
3 years ago
Which characteristic of a data set makes a linear regression model unreasonable?
LiRa [457]

Which characteristic of a data set makes a linear regression model unreasonable?

Answer: A correlation coefficient close to zero makes a linear regression model unreasonable.

If the correlation between the two variable is close to zero, we can not expect one variable explaining the variation in other variable. For a linear regression model to be reasonable, the most important check is to see whether the two variables are correlated. If there is correlation between the two variable, we can think of regression analysis and if there is no correlation between the two variable, it does not make sense to apply regression analysis.

Therefore, if the correlation coefficient is close to zero, the linear regression model would be unreasonable.

6 0
4 years ago
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