I have two variables, height and weight. I ran a regression and now need to predict the height at certain levels of weight. A copy of the regression is shown below.
For example if I wanted to estimate the predicted height of an individual who weighs 200 pounds what command would I use?
. reg heightinches weightpounds
Source | SS df MS Number of obs = 1,033
-------------+---------------------------------- F(1, 1031) = 406.74
Model | 1552.95656 1 1552.95656 Prob > F = 0.0000
Residual | 3936.41227 1,031 3.81805264 R-squared = 0.2829
-------------+---------------------------------- Adj R-squared = 0.2822
Total | 5489.36883 1,032 5.31915584 Root MSE = 1.954
------------------------------------------------------------------------------
heightinches | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
weightpounds | .0584382 .0028976 20.17 0.000 .0527523 .064124
_cons | 61.91259 .5875677 105.37 0.000 60.75962 63.06555
------------------------------------------------------------------------------
Related Posts with Using predict to estimate a value after a linear regression
Impact of unmeasured confounders. episensi and average treatment effects mhboundsDear Experts, multiple sensetivity analysis are now available. First, I was going over episensi deve…
How to include age as a dummy control in a fixed effect regression?Dear all, I have a problem understanding how i should specify the contol variable age in the follow…
-putexcel- command not exporting results to excel fileI have written codes to export regression model results to excel file, and the codes are: Code: ve…
Same value for duplicatesHello, statalist! I am struggling with the replace the value for the same person. In the dataset, t…
CIBAR (sort ascending)Wonder if possibel to apply sort ascending or sort descening funciton to cibar generated graph. for …
Subscribe to:
Post Comments (Atom)
0 Response to Using predict to estimate a value after a linear regression
Post a Comment