Read the following description of a data set.Bob is an editor reviewing short story submissions for a literary magazine. He collected data showing that he's an efficient reviewer and wants to leverage this to get a raise.For a week, Bob recorded the number of words in each short story submission, x, and how long it took him to review that story (in minutes), y.The least squares regression line of this data set is:y=0.002x+26.458Complete the following sentence:For each additional word in a story, the least squares regression line predicts that it would only take Bob ___ more minutes to review it.
Q. Read the following description of a data set.Bob is an editor reviewing short story submissions for a literary magazine. He collected data showing that he's an efficient reviewer and wants to leverage this to get a raise.For a week, Bob recorded the number of words in each short story submission, x, and how long it took him to review that story (in minutes), y.The least squares regression line of this data set is:y=0.002x+26.458Complete the following sentence:For each additional word in a story, the least squares regression line predicts that it would only take Bob ___ more minutes to review it.
Identify slope: Identify the slope of the least squares regression line. The equation given is y=0.002x+26.458. The slope of the least squares regression line is the coefficient of x, which is 0.002. This slope represents the change in the dependent variable (y, the time to review) for each one-unit increase in the independent variable (x, the number of words).
Interpret slope: Interpret the slope.In the equation y=0.002x+26.458, x represents the number of words in the short story and y represents the time it took Bob to review the story in minutes. The slope of 0.002 indicates that for each additional word in a story, the least squares regression line predicts that it would take Bob 0.002 more minutes to review it.