Answer:
Interpolation refers to using the data in order to predict data within the dataset. Extrapolation is the use of the data set to predict beyond the data set.
Step-by-step explanation:
Extrapolation and interpolation are both used to estimate hypothetical values for a variable based on other observations. There are a variety of interpolation and extrapolation methods based on the overall trend that is observed in the data.
Answer: 45 Degrees
Step-by-step explanation:
Answer: = 0.198
Step-by-step explanation:
0.60 * (100% + 33%) = 0.60 * 133% = 0.60 * 1.33 = 0.798
The markup is 0.798 - 0.60 = 0.198, which is also 0.60 * 33% = 0.60 * .33 = 0.198
Answer:
22
Step-by-step explanation:
11*2