which step should be taken when predicting the outcome of the study? explain. why would a study use a larger sample size and a longer prediction interval? which is a more accurate measure of an interval how to find the balance between the two variables in the regression model? which way to choose between increasing n and interpreting data accurately? can a model with a small sample size be used with a predictive model? which way do you make the choice between measuring t and increasing n? can you increase or decrease n in a linear regression test how do i know if the data in the dot points above is true or false why do you need to be more accurate when predicting x? which is better to increase or decrease n but measure y more precisely? which is better to decrease x or measure y more precisely how to choose between greater sample size and accuracy if the sample size is a bit small will it be better to increase n? which is better, increasing n or decreasing y which way would you measure x or y better why is it important to measure x in the dot what would be the best way to calculate the predictive accuracy of a regression? what is a more accurate sampling or a larger sample size why would an increase in x be better than decrease y