Answer:
no
Step-by-step explanation:
38 minus 15
38 - 15
15 less than 38
15 < 38
Answer:
.- .-. . / -.-- --- ..- / .-. . .- .-.. .-.. -.-- / - .... .- - / -... --- .-. . -.. ..--..
Answer:
A
Step-by-step explanation:
I think you are in geometry I learned this a little back...
It's hard to explain but basically one side is just (n) another is (n(square root sign))and another is (2n.)
So the answer Is a because in this case (n) is 4
Answer:
62°
Step-by-step explanation:
Complementary angles by definition are two or more angles that add up to 90°. So we must do 90°-62° to get the missing angle which is 62°.
Hope that helped.
Answer: C. there is still not enough evidence to conclude that the time series is stationary.
Step-by-step explanation: First thing to note for a time series plot is that it is required to select a suitable forecast method for the data set being considered.
A stationary time series means that the process generating the data set has a constant mean and the variations are constant over time. This means all evidence is present leading to the conclusion that the entire time series is stationary. A stationary time series thus exhibits an horizontal pattern which enables an appropriate forecast method to be selected for this type of pattern.
A horizontal pattern of a time series plot indicates that a data set fluctuates around a constant mean for a period of time. This period of time may however not be the entire time of the time series or take the entire data set into consideration and might just be a reflection of a portion of the time series hence why it can not be explicitly considered to be stationary. This means that a horizontal pattern can change into a seasonal or trending pattern if more variables/data are added over time.
For instance, a manufacturer sells a certain amount of products over a 10 week period and the resulting pattern of a time series plot is horizontal, then from the 11th week to the 15th week he gets a sharp and continuous increase in sales. This change in level will therefore change the time series plot from horizontal to trending making it more difficult to select a suitable forecast method.
