Reference no: EM132340469

Upload Sailboat data and answer the questions below.

I) For an additional 5 feet increase how much heavier does the sailboat get?

•  a. 4.21 pounds
•  b. 4210 pounds
•  c. 5.05 pounds
•  d. 5064 pounds
•  e. 1.01 thousand pounds

II) After performing the Regression analysis on Sailboat data you are asked to pick one number that would best answer the question: Are these two variables length (in feet) and weight (in pounds) related or not? What is this number and why?

•  a. R-square; it is close to 1 and the variables are most likely related
•  b. P-Value; it is very small, thus the variables are most likely related.
•  c. Coefficient 1.01; it tells us that for each foot the boat gains 1010 pounds, thus the variables are related.
•  d. Intercept -18.0; tells us that the length and the weight is always related.
•  e. Standard error is 4.4; and if we have an error of our prediction, there must be a relation between the variables.

III) Given a boat that is 50 feet in length use regression analysis and all available information in the table to predict its weight. Choose the interval prediction that can be deduced from the regression table.