[See] The Nome City Personnel Office suspects that employees are staying home on cold days during the winter. The personnel office regresses the number
Question: The Nome City Personnel Office suspects that employees are staying home on cold days during the winter. The personnel office regresses the number of absences on the low temperature of the preceding night. Using a sample of 60 days, it finds:
Y hat = 485-5.1X sb = 1.1 Sy|x = 12.0 r squared = .86 X mean = 20 sx = 35
Interpret the intercept, the slope, and r squared. Is the relationship significant? How many people will miss work if the overnight low is -20 degrees?
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