Lyla is an editor reviewing short story submissions for a literary magazine. she collected data showing that she's an efficient reviewer and wants to leverage this to get a raise. for a week, lyla recorded the number of words in each short story submission, x, and how long it took her to review that story (in minutes), y. the least squares regression line of this data set is: ŷ=0.003x+32.164 complete the following sentence: for each additional word in a story, the least squares regression line predicts that it would only take lyla more minutes to review it.