Currently, I am working on lm() and predict() function under Tableau. My goal is to predict Y based on new inputs (from parameter filter). The script looks like this:
fit = lm( y ~ x1 + x2 + x3 + x4 + x5 + x6 + x7, data=x);
dat = data.frame(x1=.arg9, x2=.arg10, x3=.arg11, x4=.arg12, x5=.arg13, x6=.arg14, x7=.arg15);
predict(fit, dat, interval = 'prediction')"
, SUM([Company Type Value]), SUM([Education Level value]), SUM([Industry Type Value]), SUM([Job Category Value]),
SUM([Job Level N Value]), SUM([Location Value]), SUM([Years Of Experience]), SUM([Monthly Salary]),
SUM([Company Type Filter]), SUM([Education Level Filter]), SUM([Industry Filter]), SUM([Job Category Filter]), SUM([Job Level Filter])
, SUM([Location Filter]), SUM([YOE Filter]))
Actually, I found no error and got a single return Y value but the value seems to be wrong. Another problem is, the return value didnt change if I input totally different value in my parameter as inputs.
I have browsed some references including through Bora Beran blog but still I couldnt solve my problem.. Hope you can give some feedback shortly.. Thanks
The formula above will return one value from prediction interval.
If you're trying to make a prediction, is there any reason not to use type = "response" instead of interval="prediction" ?