Which type of analysis would you perform if you have a categorical variable with 3 categories as your independent variable and a continuous variable as your dependent variable?
If the dependent variable is normally distributed and you have a categorical independent variable that has 3 or more levels then you use ONE WAY ANOVA.
Can you have a regression with only dummy variables?
Dummy variables are useful because they enable us to use a single regression equation to represent multiple groups. This means that we don’t need to write out separate equation models for each subgroup.
How to do time series analysis of binary data?
DANIEL MACRAE KEENAN* Binary data d1, d2, . . . , d, are assumed to be generated by an underlying real-valued, strictly stationary process, {Xk}, and a response function F. For a given monotone nondecreasing function F from R to [0, 1], Dk takes on 1 with probability F(Xk) and 0 with probability 1 – F(xk),
When to use a multivariate time series analysis?
Multivariate Time Series Analysis. A univariate time series data contains only one single time-dependent variable while a multivari a te time series data consists of multiple time-dependent variables. We generally use multivariate time series analysis to model and explain the interesting interdependencies and co-movements among the variables.
What’s the difference between a te and an univariate time series?
A univariate time series data contains only one single time-dependent variable while a multivari a te time series data consists of multiple time-dependent variables. We generally use multivariate time series analysis to model and explain the interesting interdependencies and co-movements among the variables.
When do you use time series for regression?
Regression modelling goal is complicated when the researcher uses time series data since an explanatory variable may influence a dependent variable with a time lag. This often necessitates the inclusion of lags of the explanatory variable in the regression.