Thank you very much. I have a question: Can we interpret that when a predictor (X1) decreases, the dependent variable (Y) also decreases? For example, if one wants to investigate factors affecting agricultural productivity amid conflict, one might consider the accessibility of agricultural inputs as a predictor. In this case, it would not be accurate to say that as accessibility to agricultural inputs increases by one unit, agricultural productivity increases by, say, 1.5 units, because accessibility is influenced by conflict.
the multivariate regression have the different factors (ENSO, SF, QBO, IOD and Aerosol) have different-period delayed effects on the temperature, and please consider how to evaluate the effect of delay on the results?
Thank you very much. I have a question: Can we interpret that when a predictor (X1) decreases, the dependent variable (Y) also decreases? For example, if one wants to investigate factors affecting agricultural productivity amid conflict, one might consider the accessibility of agricultural inputs as a predictor. In this case, it would not be accurate to say that as accessibility to agricultural inputs increases by one unit, agricultural productivity increases by, say, 1.5 units, because accessibility is influenced by conflict.
the multivariate regression have the different factors (ENSO, SF, QBO, IOD and Aerosol)
have different-period delayed effects on the temperature, and please consider how to evaluate the
effect of delay on the results?
Hi jemal constant gideta 0 mehon alebet ende?
ur sound or voice is good but ur lecture attached by example it is best
good please can you give detail presentaion of propensity score matching using in stata
Great thanks!
thankyou very much bro!
10 qu bro
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