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In March, Maggie collected the daily sales of icecream in Montreal {Y} and the outdoor temperature for each day (X). She computed the sample correlation

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In March, Maggie collected the daily sales of icecream in Montreal {Y} and the outdoor temperature for each day (X). She computed the sample correlation coefcient between X and Yto be 0.1. and used the data to build a simple linear regression model Y = b + cX. Which of the following statements is true? 0 Only 10% of the variation of the icecream sales is explained by different outdoor temperatures. 0 c in the linear regression mode Y = b + cx is positive 0 The related coeicient of determination is 0.1 O All of the other answers are true 0 90% of the variation of the icecream sales is due to the variance of the sales itself

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