Answer questions 1-5 Please! 1. Why might we not be able to build a regression m
ID: 354824 • Letter: A
Question
Answer questions 1-5 Please!
1. Why might we not be able to build a regression model to predict a dependent variable? a. We might not know the independent variables. b. There might not be any data available for the independent variables. c. The regression model might not fit the data well d. All of these are true 2. A model or technique that uses past behavior of a time-series variable to predict the future is referred to as a. a forecasting model. b. an extrapolation model. c. a trend model. d. all of these. 3. A time series which has no significant upward or downward trend is referred to as a. static. A time series which has a significant upward or downward trend is referred to as a. static. 4. Which of the following is the common approach to time-series analysis? a. Try several techniques and use the best results b. Plot the data and count the peaks to determine a value for k c. Plot the data and use the TRENDO function. d. Use a stationary model since it is the most robust. 5.Explanation / Answer
Answer:
1.d.All of these are true
Explanation:
Regression model is a relationship between a independent and dependent variable so without knowing the information or data about the independent variables we cannot construct a regression model.
2.d.All of these
Explanation:
All these models are used to make predictions of the future by analysing past and present data based on the trends
3.c.Stationary
Explanation:
Stationary means there is no trend and it means that the variance also doesnot change
4.d.non stationary
Explanation:
In non stationary trend ,it has a variable variance based on the upward or downward trend.So the mean also varies based on long run over time
5.a.try several techniques and use the best results
Explanation:
For a time series analysis,the data may differ for each time series.So it is better to try several techniqies based on the data provided to get the best results of analysis.There are several types of time series analysis based on the data choose the best approach