Lines of best fit are used to try to make a correlation (relationship) about data that will either be positive (uphill), negative (downhill) or no correlation (points are scattered). Correlation coefficients based off of a line of best fit will fall between -1 and +1 where -1 would represent a perfect negative relationship and +1 would represent a perfect positive relationship. A correlation coefficient of 0 would indicate that there is no relationship. So, if your data shows a correlation coefficient of 0.109, which is closest to 0 on a number line, then you can't be sure that your data has a very close relationship.

7 0

3 years ago

Please help, thanks :) (Question is attached below)

expeople1 [14]

Answer:

Step-by-step explanation:

the upper left graph is the correct answer

because "... or equal to" always represents a filled dot, while just "greater/less than" represents blank dot

6 0

3 years ago

3) 9i(3)+ 9i(2)+ 18i + 36

GalinKa [24]

Answer:
36+63i

explanation:

7 0

3 years ago

The average cost per unit C(x), in dollars, to produce x units of toy cars is given by C(x)=(8000)/(x−50)C(x)=(8000)/(x−50). Wha

podryga [215]

$C(x)= \frac{8000}{x-50}$

gives an average cost per unit, if we want to produce x of them.

So for example, we want to produce 500 toy cars for our store, and we need a price per unit (per 1 toy car). What we do is we calculate C(500).

So to calculate the cost of one unit when producing 1250, we calculate C(1250)

$C(1250)= \frac{8000}{1250-50}= \frac{8000}{1200}=6.67$ $ is the cost of 1 toy car.

Answer

4 0

3 years ago