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alexandr402 [8]
2 years ago
15

Charlie used a regression calculator to generate the

Mathematics
2 answers:
Firdavs [7]2 years ago
8 0

Answer:

Answer below, let me know if it didn't make sense.  

Step-by-step explanation:

I attached a picture of the scatterplot with a line connecting the points.  There is a definite upside down u type shape, and it doesn't look close to a line at all, so linear is not a good choice.  

an upside down u shape (or right side up u shape for that matter) is exactly what a quadratic is, or any polynomial if you do it right, but quadratic is the simplest, so let's go with that.

slamgirl [31]2 years ago
3 0

Answer:

Sample Response: The r-value for the linear function related to the ordered pairs is very close to zero, so it is not a good representation of the data. A quadratic model would better represent the data because there is a turning point within the data set. The data increases then decreases, which is what the graph of a quadratic does.

Step-by-step explanation:

:)

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I hope this helps you



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Write the following number in expanded and word form 5,325,603.712
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Expanded:5,000,000+300,000+20,000+5,000+600+3+0.7+0.01+0.002

Word: five million, three hundred twenty-five thousand, six hundred three and seven hundred twelve thousandths
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Represent this temperatures in degrees Fahrenheit with a positive or negative number: 5 degrees above zero *
Darina [25.2K]

Answer:

5 degree Fahrenheit.

Step-by-step explanation:

The solution of the following problem is 5 degree Fahrenheit, since it is referring to the equation <em>0+5.</em>

I hope this helped!!

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2 years ago
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WILL GIVE BRAINLIEST
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Answer:

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Step-by-step explanation:

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6 0
2 years ago
A college conducts a common test for all the students. For the Mathematics portion of this test, the scores are normally distrib
Jet001 [13]

Using the normal distribution, it is found that 58.97% of students would be expected to score between 400 and 590.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

\mu = 502, \sigma = 115

The proportion of students between 400 and 590 is the <u>p-value of Z when X = 590 subtracted by the p-value of Z when X = 400</u>, hence:

X = 590:

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

Z = \frac{590 - 502}{115}

Z = 0.76

Z = 0.76 has a p-value of 0.7764.

X = 400:

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

Z = \frac{400 - 502}{115}

Z = -0.89

Z = -0.89 has a p-value of 0.1867.

0.7764 - 0.1867 = 0.5897 = 58.97%.

58.97% of students would be expected to score between 400 and 590.

More can be learned about the normal distribution at brainly.com/question/27643290

#SPJ1

6 0
1 year ago
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