Question

interpret the least squares regression line of this data set. todd is an editor reviewing short - story submissions for a literary magazine. he collected data showing that hes an efficient reviewer and wants to leverage this to get a raise. for a week, todd recorded the number of words in each short - story submission, x, and how long it took him to review that story (in minutes), y. words minutes 1,998 31.04 3,538 40.38 3,553 41.37 4,669 31.98 5,077 35.15 6,782 59.09 the correct least squares regression line for the data set is: y = 0.004x + 20.641 use it to complete the following sentence: for each additional word in a story, the least squares regression line predicts that it would only take todd more minutes to review it.

Explanation:

Step1: Identificar la pendiente de la línea de regresión

La ecuación de la línea de regresión es $y = 0.004x+20.641$, donde la pendiente es $m = 0.004$.

Step2: Interpretar la pendiente

La pendiente representa el cambio en $y$ (tiempo de revisión en minutos) por cada cambio en $x$ (número de palabras).

Answer:

0.004