It is difficult to provide an accurate answer. However, in general, if the sample size increased from the original sample used to estimate the regression model, the coefficient on weight may become more precise and have a smaller standard error. This is because with a larger sample size, there is more information available to estimate the relationship between the independent variable (weight) and the dependent variable (the outcome variable in the regression). As a result, the coefficient estimate may be more accurate and reliable. However, this assumes that the relationship between weight and the outcome variable is stable and does not change with a larger sample size.