A fishing company would like to predict how much fish are caught based on the amount of baits used. You are brought in as a consultant. You believe a linear regression model may be appropriate. Using an appropriate sampling process, you obtain the following data for the last ten days:

Which is a better predictor of fish caught tons of bait used or number of boats working? Numerically justify your answer using relevant cautions

Transcribed Image Text:

Fish caught (tons) 2 5 7 9 10 11 12 14 16 19 Bait used (tons) 1 3 2 5 4 6 5 7 8 9 Boats used (number) 10 20 20 30 40 40 50 60 60 70 Fish caught (tons) 2 5 7 9 10 11 12 14 16 19 Bait used (tons) 1 3 2 5 4 6 5 7 8 9 Boats used (number) 10 20 20 30 40 40 50 60 60 70

Answer rating: 100% (QA)

We will use coefficient of determination r 2 to identify the better predictor among tons of bait use... View the full answer