subject
Mathematics, 09.11.2019 02:31 hayleegreenwell34

Which of the following are true of the "linear regression" forecasting method? 1. the data pattern can allow for stationarity. 2. a trend in the data can also be spotted, but that trend must be non-linear. 3. the amount of historical data required is typically in the range of 10-20 observations, though more is generally preferred. 4. a trend in the data can also be spotted, but that trend must be linear. 5. linear regression is the most popular of all forecasting methods. 6. seasonality in the data cannot be accomodated. 7. the forecast horizon can range from short to medium.

ansver
Answers: 2

Other questions on the subject: Mathematics

image
Mathematics, 21.06.2019 18:30, zoeatlowapple
An optical inspection system is used to distinguish among different part types. the probability of a correct classification of any part is 0.92. suppose that three parts are inspected and that the classifications are independent. let the random variable x denote the number of parts that are correctly classified. determine the probability mass function of x. round your answers to four decimal places (e. g. 98.7654). x f(x) 0 1 2 3
Answers: 2
image
Mathematics, 21.06.2019 22:00, prishnasharma34
The two box p digram the two box plots show the data of the pitches thrown by two pitchers throughout the season. which statement is correct? check all that apply. pitcher 1 has a symmetric data set. pitcher 1 does not have a symmetric data set. pitcher 2 has a symmetric data set. pitcher 2 does not have a symmetric data set. pitcher 2 has the greater variation. ots represent the total number of touchdowns two quarterbacks threw in 10 seasons of play
Answers: 1
image
Mathematics, 22.06.2019 00:20, mandi795
The circle below is centered at the point (3, 1) and has a radius of length 2. what is the equation?
Answers: 1
image
Mathematics, 22.06.2019 00:30, bella8751
Which graph of a hyperbola represents the equation 16x^2-y^2=16
Answers: 1
You know the right answer?
Which of the following are true of the "linear regression" forecasting method? 1. the data pattern...

Questions in other subjects: