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Blizzard [7]
3 years ago
8

Is a linear model or a quadratic model a better fit

Mathematics
1 answer:
Tamiku [17]3 years ago
7 0

Answer:

Quadratic

Step-by-step explanation:

Linear equations are straight lines while quadratics are curved in a "u" shape. These points have a vertex and go up on both sides, a quadratic would be able to better fit this since their y values repeat, unlike linear models.

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What is the square root of 49 multiplied by the square root of 9
fiasKO [112]
First we need to find the the answer to both the square root of 49 and 9.

The "square root" is a term referring to a number, multiplied by itself (x • x) would be = to your square root.

So for example: Square root of 16 = 4 because 4*4=16 

So lets get out numbers:

\sqrt{9} =3

\sqrt{49}=7

Now you multiply 3*7 (or 7*3) and you get 21.

Final answer: 21

7 0
3 years ago
Read 2 more answers
Find the m&lt;1 <br> 69<br> 71<br> 111<br> 86
Alexxandr [17]

Answer:

69

Step-by-step explanation:

m1 = 180 - (180 - 39 - 30) = 180 - 111 = 69

3 0
2 years ago
A 2,000-foot-long fence will be used to enclose a rectangular field that is three times as long as it is wide. What is the lengt
BartSMP [9]
I think it's another trick question and the answer is 2000.
4 0
3 years ago
Find the value of 3a + 7b if a=6 and b=4
EastWind [94]

Answer:

The answer would be 46. Hope this helps!

8 0
2 years ago
Suppose x is a normally distributed random variable with a mean of 12 and a standard deviation of 3. The probability that x equa
Contact [7]

Answer:

The probability that x equals 19.62 is 0

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

In the normal probability distribution, the probability of an exact value, that is, P(X = x) is 0. Thus, the probability that x equals 19.62 is 0

8 0
3 years ago
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