Lackland Lackland Ski Resort uses multiple regression to forecast ski lift revenues for the next week based on the forecasted number of days with temperatures above 10 degrees and predicted number of inches of snow. The following function has been developed:

Sales = 10,902 255 (number days predicted above 10 degrees) 300 (number of inches of snow predicted)

Other information generated from the analysis include Adjusted R2 = 0.6789 Standard Error of the Estimate (SEE) = 1,879 F-statistic = 6.279 with a significance of 0.049 Which of the following represents an accurate interpretation of the results of Lackland's regression analysis?

rev: 09_28_2018_QC_CS-139975, 11_05_2018_QC_CS-146424

Multiple Choice

The predicted number of days above 10 degrees is a more significant variable than the number of inches of snow.

The relationships are not significant.

67.89% of the variation in revenue is explained by the predicted number of days above 10 degrees and the number of inches of snow.

6.729% of the variation in revenue is explained by the predicted number of days above 10 degrees and the number of inches of snow.