Bytelearn - cat image with glassesAI tutor

Welcome to Bytelearn!

Let’s check out your problem:

Read the following description of a data set.\newlineColette is indignant that her favorite author takes too long to write new books. To determine how atypical her favorite author's speed is, Colette looked at how writing speed varies between different active authors.For her favorite novelists, she recorded the number of years they had been actively writing, xx, and how many novels they had written, yy.The least squares regression line of this data set is:y=0.064x+5.024y = 0.064x + 5.024\newlineComplete the following sentence:\newlineFor each additional year, the least squares regression line predicts that an author would have written an additional ___ novels.

Full solution

Q. Read the following description of a data set.\newlineColette is indignant that her favorite author takes too long to write new books. To determine how atypical her favorite author's speed is, Colette looked at how writing speed varies between different active authors.For her favorite novelists, she recorded the number of years they had been actively writing, xx, and how many novels they had written, yy.The least squares regression line of this data set is:y=0.064x+5.024y = 0.064x + 5.024\newlineComplete the following sentence:\newlineFor each additional year, the least squares regression line predicts that an author would have written an additional ___ novels.
  1. Analyze regression equation: Analyze the given regression equation y=0.064x+5.024y = 0.064x + 5.024. Here, the coefficient of xx, which is 0.0640.064, represents the slope of the line.
  2. Interpret the slope: Interpret the slope: The slope of 0.0640.064 means that for each additional year an author has been writing, they are expected to have written 0.0640.064 more novels.

More problems from Interpret regression lines