The two regression coefficients are 1.5 and 0.6 and the coefficient of correlation is 0.90. Comment.
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A small variation in estimated values is noted due to sampling error.
Step-by-step explanation:
- It is given that the regression coefficients are .
- Also given that the coefficient of correlation is .
- These variables are situated between positive x & y variables.
- % variance can be predicted from the independent while the remaining % can be due to some kind of sampling errors.
Now,
×
×
≈
Thus, we find that due to sampling error, a little difference can be observed in calculated values.
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