Complete the following instructions: i. Identify the independent and dependent variables. ii. Calculate and interpret the Pearson correlation coefficient r for the paired data. Be sure to indicate if the correlation is positive or negative, and whether it is strong, moderate, or weak, or if there does not appear to be any significant correlation.

An LCBO employee compares the relationship between the price of 6 different vintage bottles of wine, and the number of those bottles that have been purchased in the last 3 months to see if there is a correlation between the number of bottles purchased and the price of the bottle.

Number of Bottles of Wine Purchased in the Last 3 Months	Price of Wine Bottle ($)
44	25
18	60
93	15
65	30
82	20
56	40

i.	Independent Variable:
	(click to select)Number of Bottles of WinePurchased in the Last 3 MonthsPrice of Wine Bottle ($)
	Dependent Variable:
	(click to select)Number of Bottles of Wine Purchased in the Last 3 MonthsPrice of Wine Bottle ($)

ii.	Pearson Correlation Coefficient (r):
	Round to 3 decimal places.
	Correlation:
	(click to select)PosititveNegativeNeither
	Correlation Strength:
	(click to select)StrongModerateWeakNo Significant Correlation