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Interpretation of coefficient of determination
If computing a causal linear regression model of y = a + bX and the resultant r2 is very near zero, then one would be able to conclude that:
1. y = a + bX is a good forecasting method.
2. Y = a + bX is not a good forecasting method.
3. a multiple linear regression model is a good forecasting method for the data.
4. a multiple linear regression model is not a good forecasting method for the data.
Obtain a test statistic and p -value assuming equal variances. Interpret these results.
What percentage of population scored between the mean and Jorge?
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Assume that the following four examines were tested as part of a large group that had a normally curved distribution.
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Draw suitable distribution curve indicating position of the TS and CV.
We are interested in determining whether or not the opinions of the individuals (as to Yes, No, and No Opinion) are uniformly distributed.
A student with a 3.5 to 4 grade point average who took standardized test is randomly selected. Determine the probability that students test score is less than 36.
What is the distinction between a one-sided and a two-sided hypothesis test in this problem?
How much time should the employer allow employees to finish the job? (Round up to the nearest minute).
Probability using discrete distribution.The probability distribution for the random variable x follows.
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