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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.
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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?
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Probability using discrete distribution.The probability distribution for the random variable x follows.
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