Asked by hello
Read the following description of a data set.
Sam keeps detailed information about his model airplane collection. The data includes not only the characteristics of each model, but also the time it took to assemble it. He is thinking of buying a new model airplane and decided to look at this information to understand how long assembly might take.
From his data, Sam found the number of pieces in each model, x, and how many minutes each took to assemble, y.
The least squares regression line of this data set is:
y=0.114x+34.742
Complete the following sentence:
The least squares regression line predicts that each extra piece in a model adds
minutes to the total assembly time for that model.
Sam keeps detailed information about his model airplane collection. The data includes not only the characteristics of each model, but also the time it took to assemble it. He is thinking of buying a new model airplane and decided to look at this information to understand how long assembly might take.
From his data, Sam found the number of pieces in each model, x, and how many minutes each took to assemble, y.
The least squares regression line of this data set is:
y=0.114x+34.742
Complete the following sentence:
The least squares regression line predicts that each extra piece in a model adds
minutes to the total assembly time for that model.
Answers
Answered by
GPT-4o mini
The least squares regression line predicts that each extra piece in a model adds **0.114** minutes to the total assembly time for that model.