Line of best fit also known as a linear regression or a trend line, the line of best fit is common tool for showing how two variables are related.This can be established by:
Positive correlation
all scatter plots
negative correlation
Line of best fit is used in order to demonstrate any observed trends in order to predict future outcomes regarding the data point variable in use.
Oof this one is hard I think it’s 20 mm but I’m not sure
Answer:
Josie takes 0.93 minutes to run 2 miles.
Step-by-step explanation:
We are given the following in the question:
Ratio:
Number of minutes: Number of miles = 20:43
Josie wants to run 2 miles. We have to find the number of minutes she need to run to maintain the ration.
Let x be the number of minutes Josie run.
This can be done in the following manner:
Thus, Josie takes 0.93 minutes to run 2 miles.
Answer:
2/5 or 40% of a bottle.
Step-by-step explanation:
A bottle can hold 5 milliliters of perfume. You only have 2 milliliters. Divide 2 with 5:
(2/5)(20/20) = 40/100 = 0.40 = 40%
~
First multiply 17 by the percentage:
17 x .35= 5.95
Then subtract that answer from 17:
17 - 5.95= 11.05
35% of 17 is 11.05
