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3241004551 [841]
3 years ago
6

What type of correlation exists between the temperature and the number of fruit bars sold? What is the real-world meaning of the

slope of the line of best fit for the given scenario? There are approximately more fruit bars sold for every degree(s) the temperature rises
Mathematics
2 answers:
nika2105 [10]3 years ago
6 0

Answer:

There's no figure, but okay! The type of correlation that exists between the temperature and the number of fruit bars sold is a positive correlation.

The real-world meaning of the slope of the line of best fit for the given scenario is that: As the temperature increases, so too does the number of fruit bars sold.

I hope that helps you!! ^-^

zepelin [54]3 years ago
5 0

Answer:

What type of correlation exists between the temperature and the number of fruit bars sold?

✔ positive

What is the real-world meaning of the slope of the line of best fit for the given scenario?

There are approximately ✔ 2.2 more fruit bars sold for every ✔ 1 degree(s) the temperature rises.

Step-by-step explanation:

got it right in edg 2021, hope this is of help :)

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Hi there!

The way that an infinite number of solutions is achieved is when the two equations, when solved together, get an answer which is just a number equal to the same number. To do this, first substitute 6x-b in for y in the second equation.

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Now, we see that b needs to be equal to -3 when multiplied by -1/2. When both sides are divided by -1/2, b becomes equal to 6. Thus, b must be 6.

Check work:

6x-6=y

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4 years ago
The following data pairs represent the average temperature x (in degrees Fahrenheit) and electricity
elena55 [62]

Answer:

<u>The correct answer is C. r = 0 because is most likely the closest to the correlation coefficient of the data.</u>

Step-by-step explanation:

Using Excel, we captured the data provided for the 12 different homes for calculating the correlation coefficient manually, this way:

n = 12

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∑y = 2,169

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r =  [n *∑xy  - (∑x * ∑y)]/[√(n * ∑x² - (∑x)²) * (n * ∑y²  - (∑y)²)]

Replacing with the real values, we have:

r = [12 * 167,532  - (904 * 2,169)]/[√(12 * 69,552 - 904²) * (12 * 404,615  - 2,169²)]

r = [2'010,384  -1'960,776]/[√(834,624 - 817,216) * (4'855,380  - 4'704,561]

r = 49,608/√17,408 * 150,819

r = 49,608/ 51'239.215

r = 0.00097

<u>The correct answer is C. r = 0 because is most likely the closest to the correlation coefficient of the data.</u>

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