which sentences are correct? 1.Decomposition methods assume that the actual time series value at period t is a function of three components: trend, seasonal, and irregular. 2.Dummy variables can be used to deal with categorical independent variables in a multiple regression model. 3.If a time series exhibits a linear trend, the method of least squares may be used to determine a trend line (projection) for future forecasts. 4.Time series decomposition can be used to separate or decompose a time series into seasonal, trend, and irregular (error) components. 5.A variety of nonlinear functions can be used to develop an estimate of the trend in a time series, including quadratic trend equation and exponential trend equation. 6.Hypothesis Testing about the variances of Two Populations apply with F test Statistic. 7.Hypothesis Testing about the variances of One Populations apply with Chi test Statistic. 8.Hypothesis Testing about the variances of One Populations apply with F test Statistic. 9.Both Chi-square distribution and F distribution are derived from Normal Distribution. 10.Hypothesis Testing about the variances of Two Populations apply with Chi test Statistic. 11.In general, if there are k populations, we need to define k dummy variables. 12.It is common for the value of y at one time period to be related to the value of y at previous time periods. We call it as autocorrelation (or serial correlation). 13.We can use the results of multiple regression to perform the ANOVA test on the difference in the means of three populations. 14.When autocorrelation is present, serious errors can be made in performing tests of significance based upon the assumed regression model. 15.The use of dummy variables in a multiple regression equation can provide another approach to solving analysis of variance and experimental design problems. 16.In general, if there are k populations, we need to define k dummy variables. 17.It is common for the value of y at one time period to be related to the value of y at previous time periods. We call it as autocorrelation (or serial correlation). 18.We can use the results of multiple regression to perform the ANOVA test on the difference in the means of three populations. 19.When autocorrelation is present, serious errors can be made in performing tests of significance based upon the assumed regression model. 20.The use of dummy variables in a multiple regression equation can provide another approach to solving analysis of variance and experimental design problems.
which sentences are correct?
1.Decomposition methods assume that the actual time series value at period t is a function of three components: trend, seasonal, and irregular.
2.Dummy variables can be used to deal with categorical independent variables in a multiple regression model.
3.If a time series exhibits a linear trend, the method of least squares may be used to determine a trend line (projection) for future
4.Time series decomposition can be used to separate or decompose a time series into seasonal, trend, and irregular (error) components.
5.A variety of nonlinear functions can be used to develop an estimate of the trend in a time series, including quadratic trend equation and exponential trend equation.
6.Hypothesis Testing about the variances of Two Populations apply with F test Statistic.
7.Hypothesis Testing about the variances of One Populations apply with Chi test Statistic.
8.Hypothesis Testing about the variances of One Populations apply with F test Statistic.
9.Both Chi-square distribution and F distribution are derived from
10.Hypothesis Testing about the variances of Two Populations apply with Chi test Statistic.
11.In general, if there are k populations, we need to define k dummy variables.
12.It is common for the value of y at one time period to be related to the value of y at previous time periods. We call it as autocorrelation (or serial correlation).
13.We can use the results of multiple regression to perform the ANOVA test on the difference in the means of three populations.
14.When autocorrelation is present, serious errors can be made in performing tests of significance based upon the assumed regression model.
15.The use of dummy variables in a multiple regression equation can provide another approach to solving
16.In general, if there are k populations, we need to define k dummy variables.
17.It is common for the value of y at one time period to be related to the value of y at previous time periods. We call it as autocorrelation (or serial correlation).
18.We can use the results of multiple regression to perform the ANOVA test on the difference in the means of three populations.
19.When autocorrelation is present, serious errors can be made in performing tests of significance based upon the assumed regression model.
20.The use of dummy variables in a multiple regression equation can provide another approach to solving analysis of variance and experimental design problems.
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