9. The final score (Y) of students in a course was correlated with score (CX) in entrance test. The relevant data in coded units are as follows: Y: 2 8 5n 4 2 X: 6. (a) Obtain the lincar regression...


9. The final score (Y) of students in a course was correlated with score (CX) in entrance<br>test. The relevant data in coded units are as follows:<br>Y:<br>2<br>8<br>5n<br>4<br>2<br>X:<br>6.<br>(a) Obtain the lincar regression equation of Y on .X.<br>(b) Obtain the correlation coefficient and interpret it.<br>(c) Predict Y when X = 4. If the predicted value is different from the observed value of 6. Explain<br>the reasons for the difference.<br>

Extracted text: 9. The final score (Y) of students in a course was correlated with score (CX) in entrance test. The relevant data in coded units are as follows: Y: 2 8 5n 4 2 X: 6. (a) Obtain the lincar regression equation of Y on .X. (b) Obtain the correlation coefficient and interpret it. (c) Predict Y when X = 4. If the predicted value is different from the observed value of 6. Explain the reasons for the difference.

Jun 10, 2022
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