regression does not imply causationthere are diff b/w regression and correlation. In regression, the variables are treated asymmetrically (explanatory variables are random and dependent is fixed) and we try to estimate the value of one by finding a relationship with the others. In correlation, the variables are treated symmetrically, both are random and we tend to find out the strength of linear relationship b/w the two.explanatory is the regressor and Y is the regrassand. we regress Y on X.types of data- time series, cross sectional(heterogenous-size and scale must be taken into account), pooled(cross sectional+time series) panel(special type of pooled data with the same cross sectional unit-family or firm).https://sites.google.com/site/econometricsacademy/econometrics-models/panel-data-models856do we need rebasing for regression?why log transformation is used and when?diff between regression and time series anlaysis?regression and causality?how do we come to know var is to be appplied or panel? what all test need to be done before it?confidence interval of ACF. why cant Q/Lb test be used everytime for checking stationarity?