In March, Maggie collected the daily sales of ice-cream in Montreal (Y) and the outdoor temperature for each day (X). She computed the sample correlation coefficient between X and Y to be 0.1, and used the data to build a simple linear regression modelY = b + cX.
Extracted text: O The related coefficient of determination is 0.1 O All of the other answers are true O Only 10% of the variation of the ice-cream sales is explained by different outdoor temperatures. O c in the linear regression mode Y = b + cX is positive O 90% of the variation of the ice-cream sales is due to the variance of the sales itself.
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