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sergiy2304 [10]
2 years ago
10

Which of the following quadratic regression equations best fits the data

Mathematics
1 answer:
xeze [42]2 years ago
4 0

Answer:

C

Step-by-step explanation:

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Use the tally chart to answer the question.
Semenov [28]

Answer:

your answer would be A

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
If the expression $3^1 times 9^2 times 27^3 \times 81^4 is simplified to the form 3^n, what is the value of n?
Darina [25.2K]

Answer:

n=30

Step-by-step explanation:

Given expression:

3^1\times 9^2\times 27^3\times 81^4

The given expression needs to be simplified to the form 3^n

Applying the exponents rule to simplify.

3^1\times 9^2\times 27^3\times 81^4

Writing all numbers as product of 3.

⇒ 3^1\times (3\times3)^2\times (3\times3\times3)^3\times (3\times3\times3\times3)^4

Writing each in exponents form.

⇒ 3^1\times (3^2)^2\times (3^3)^3\times (3^4)^4

Using power of a power rule [\ (a^x)^y=a^{xy}\ ]

⇒ 3^1\times 3^4\times 3^9\times 3^16

Using multiplication rule of exponents [\ a^x\times a^y=a^{x+y}\ ]

⇒ 3^{1+4+9+16}

⇒ 3^{30}

So we have 3^n=3^{30}

∴ n=30

8 0
3 years ago
Factor the polynomial expression x^4+18x^2+81
Vikentia [17]

Answer:

Step-by-step explanation:

Hello,

please consider the following

x^4+18x^2+81=(x^2)^2+2*(3^2)x^2+(3)^4\\\\=(x^2+9)^2

hope this helps

4 0
3 years ago
If Jose divides his cards into 8 equal stacks, how many cards will there be in each stack? Will there be any cards left over?
gavmur [86]
Idk how many start cards there are o this problem cant be solved...
8 0
3 years ago
If an experimenter sets equal to .01, then she is defining a "statistically rare" event as an event occurring more than one time
Fynjy0 [20]

Answer:

The correct answer is an event occurring one or fewer times in 100 times if the null hypothesis is true.

Step-by-step explanation:

For a statistically rare event, its probability is relatively small and the event is very unlikely to occur.  Therefore, if an experimental sets equal to 0.01 which is statistically rare, then we can interpret this mathematically as:

p(event) = 0.01 = 1/100

where p(event) is the probability of the event.

In addition, statistically, null hypothesis signifies no major difference between the specified parameters, and any obvious difference that might occur as a result of experimental error. Thus, it can be concluded that the event is occurring one or fewer times in 100 times if the null hypothesis is true.

3 0
3 years ago
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