I see the following warnings in the code that supports Ballard's hypotheses @littlewho wrote: Hello, I am trying to run a 2nd degree regression on a dataset looking like the following:   date returns continuous_date continuous_dateSquared 1 2007Q4 -0.53 2007.75 4031060.0625 2 2008Q1 -5.11 2008 4032064 3 2008Q2 -3.176666667 2008.25 4033068.0625 4 2008Q3 -1.516666667 2008.5 4034072.25 5 2008Q4 -6.57 2008.75 4035076.5625 6 2009Q1 -8.495 2009 4036081 7 2009Q2 0.1066666667 2009.25 4037085.5625 8 2009Q3 6.475 2009.5 4038090.25 9 2009Q4 12.72 2009.75 4039095.0625 10 2010Q1 1.265 2010 4040100 11 2010Q2 -0.125 2010.25 4041105.0625 12 2010Q3 0.565 2010.5 4042110.25 13 2010Q4 2.495 2010.75 4043115.5625     The regression equation should be like the following: Returns(t) = a + b * time(t) + c * time(t)^2 and the code looks like this: proc reg data=temp; model returns=continuous_date continuous_dateSquared; ods output ParameterEstimates=params; run; When I try to run this, I'm getting the following error: That's strange, because using the regression option from sgplot, works just fine: ods graphics / reset width=8in height=6in imagemap; proc sgplot data=temp; reg x=continuous_date y=returns_avg / degree=2 nomarkers; scatter x=continuous_date y=returns_avg; run; ods graphics / reset; title; Could anyone point what I am doing wrong? Thanks! @littlewho wrote: Hello, I am trying to run a 2nd degree regression on a dataset looking like the following:   date returns continuous_date continuous_dateSquared 1 2007Q4 -0.53 2007.75 4031060.0625 2 2008Q1 -5.11 2008 4032064 3 2008Q2 -3.176666667 2008.25 4033068.0625 4 2008Q3 -1.516666667 2008.5 4034072.25 5 2008Q4 -6.57 2008.75 4035076.5625 6 2009Q1 -8.495 2009 4036081 7 2009Q2 0.1066666667 2009.25 4037085.5625 8 2009Q3 6.475 2009.5 4038090.25 9 2009Q4 12.72 2009.75 4039095.0625 10 2010Q1 1.265 2010 4040100 11 2010Q2 -0.125 2010.25 4041105.0625 12 2010Q3 0.565 2010.5 4042110.25 13 2010Q4 2.495 2010.75 4043115.5625     The regression equation should be like the following: Returns(t) = a + b * time(t) + c * time(t)^2 and the code looks like this: proc reg data=temp; model returns=continuous_date continuous_dateSquared; ods output ParameterEstimates=params; run; When I try to run this, I'm getting the following error: That's strange, because using the regression option from sgplot, works just fine: ods graphics / reset width=8in height=6in imagemap; proc sgplot data=temp; reg x=continuous_date y=returns_avg / degree=2 nomarkers; scatter x=continuous_date y=returns_avg; run; ods graphics / reset; title; Could anyone point what I am doing wrong? Thanks! WARNING: The range of variable cont_date is so small relative to its mean that there may be loss of accuracy in the computations. You may need to rescale the variable to have a larger value of RANGE/abs(MEAN), for example, by using PROC STANDARD M=0; WARNING: The range of variable cont_date_sq is so small relative to its mean that there may be loss of accuracy in the computations. You may need to rescale the variable to have a larger value of RANGE/abs(MEAN), for example, by using PROC STANDARD M=0; ... View more

data have; informat id 3. Product_Order mmddyy10. Product_Received mmddyy10.; input id Product_Order Product_Received; format id 3. Product_Order mmddyy10. Product_Received mmddyy10.; cards; 1 10/6/2018 10/23/2018 1 10/6/2018 10/31/2018 1 10/6/2018 12/3/2018 2 10/13/2018 11/1/2018 2 10/13/2018 12/18/2018 3 7/16/2016 7/26/2016 3 10/2/2017 10/22/2017 4 12/10/2016 12/27/2016 4 2/13/2018 3/5/2018 5 1/24/2017 2/12/2017 5 12/26/2017 1/12/2018 5 1/10/2018 2/20/2018 6 2/6/2018 3/10/2018 6 2/9/2018 3/10/2018 7 4/5/2018 5/5/2018 7 5/5/2018 6/4/2018 7 6/5/2018 7/5/2018 7 7/5/2018 8/4/2018 ;;; run; proc sort; by id Product_Order Product_Received; run; data want; set have; by id Product_Order Product_Received; retain order_event prev_order prev_recv; if first.id then do; order_event=1; prev_order=Product_Order; prev_recv=Product_Received; end; put _all_; if (prev_order ^= Product_Order) and (prev_recv^=Product_Received) then order_event=order_event+1; prev_order=Product_Order; prev_recv=Product_Received; run; ... View more