Answer:
With a correlation coefficient of 0.109 you can not be confident at all; this is about as close to a random guess you could get.
Step-by-step explanation:
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.
Answer:
Step-by-step explanation:
Cheese covered with poor
Answer: The .30 per mile is the independent, because it is manipulated, and changed throughout. DRY MIX : Dependent, Responding, Y axis. Manipulated, Independent, X axis.
The answer to your question is 89
35 because you add 3 and 6 and that gives you 35x
