A sample random sample of 35 world-ranked chess players provides the follow statistics. The mean of...

Transcribed Image Text:

A sample random sample of 35 world-ranked chess players provides the follow statistics. The mean of the number of hours of study per day is 6.2 with a standard deviation of 1.3. The mean of the yearly winnings is $208,000 with a standard deviation of $42,000. The correlationr = 0.15. Based on this data, what is the resulting linear regression equation? * O Predicted winnings = 178,000 + 4850 (hours) Predicted winnings = 169,000 + 6300 (hours) O Predicted winnings = 14,550 + 31,200 (hours) Predicted winnings = 7750 + 32,300 (hours) O Predicted winnings = -52,400 + 42,000(hours) %3D A sample random sample of 35 world-ranked chess players provides the follow statistics. The mean of the number of hours of study per day is 6.2 with a standard deviation of 1.3. The mean of the yearly winnings is $208,000 with a standard deviation of $42,000. The correlationr = 0.15. Based on this data, what is the resulting linear regression equation? * O Predicted winnings = 178,000 + 4850 (hours) Predicted winnings = 169,000 + 6300 (hours) O Predicted winnings = 14,550 + 31,200 (hours) Predicted winnings = 7750 + 32,300 (hours) O Predicted winnings = -52,400 + 42,000(hours) %3D

Answer rating: 100% (QA)

Let Y denote the yearly winnings of the chess players and let X denote ... View the full answer