Hi,  I have a continuous outcome and multiple categorical/binary predictors (coded as dummy variables 0 and 1), so I used a multiple linear regression. I had to log transform the outcome variable to fit linear model assumptions.    How do I go about interpreting each predictor?  e.g.  Parameter Estimate Intercept    3.64 A 1             0.48 A 0             0.000000000 TEAM 1     0.49 TEAM 0     0.00 error 1        0.55 error 0        0.00     For TP, it would be (e^0.49)-1*100% = 0.63. Would my interpretation be: a) For every unit increase in A, there is a 63% increase in Y, while team is 0 and error is 0 (holding all other variables constant).  b) There is a 63% increase in Y for A 0 compared to A 1, while team is 0 and error is 0 (holding all other variables constant.)  Because this predictor is binary, I don't know if if "for every unit increase" is appropriate.    Would the interpretation be the same for the other predictors?  For TEAM, (e^0.49)-1*100% = 0.62.  a) For every unit increase in TEAM, there is a 62% increase in Y, while A is 0 and error is 0 (holding all other variables constant).  b) There is a 63% increase in Y for TEAM 0 compared to TEAM 1, while team is 0 and error is 0 (holding all other variables constant.)    How would the interpretation be if the categorical predictor had 3 levels (0, 1, 2)? Or if there was an interaction in the predictors TEAM*A?    Thank you for your help.  ... View more

Hello,  I am trying to determine the level of detail in character variables by counting the number of characters in the values.  As an example, variable 'comments' has values like 'very good', 'excellent', and 'poor service'. I want to generate a variable that will count all the characters in the 'comments' variable and will return something like this:    very good - 9 characters  excellent - 9 characters  poor service - 12 characters.    I have to do this for multiple variables, but I don't know how to approach this.  Thank you in advance!  ... View more

Hi SAS users,    My dataset has 35 variables that are in SAS datetime format, for ex:  16APR2019:21:22:00   I am trying to check the chronological order of these variables, where var1 occurred before var2, var 2 before var3, ...var34 before var35 for all 35 variables. For each variable, there is either a datetime value or a missing value. This needs to be done for each case ID.    So for case #1, I need to check that var1 occurred before var2, var 2 before var3,...var 35. Repeat for all cases. My goal is to flag observations if the events are not in chronological order. I am a beginner and having difficulty approaching how to do this.   Thank you, any help would be appreciated.    ... View more