A Well-Educated Lumberjack Decides to Use Linear Regression to Predict

Multiple Choice

A well-educated lumberjack decides to use linear regression to predict the demand for firewood based on the ambient temperature. He has collected data on firewood sales and temperature for the last several days and has performed some preliminary calculations as shown in the table.

-Marilyn runs a multiple regression for the output of cheese curds by using the daily temperature and the consumption of sweet clover. The intercept term is 23, the slope coefficient for the daily temperature is 1.5, and the slope coefficient for the consumption of sweet clover is 0. Which of these conclusions is most appropriate?

A) Marilyn should collect more data.
B) The most important term in Marilyn's model is the intercept.
C) As the daily temperature rises, the intercept term probably decreases.
D) Marilyn should drop the sweet-clover term from her model.
E) Need more information to answer the question