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1. If you are calculating a correlation coefficient testing the relationship between height and weight, state the null and alternative hypotheses.
2. What kind of relationship does a correlation coefficient test?
3. What does a "perfect negative correlation" mean?
4. What number will your correlation coefficient be close to when there is no particular pattern of relationship between your x variable and your y variable?
5. Interpret the correlation coefficient in the scatter plots below?
i need to solve couple questions on a data set ?
how to interpret results, a good explanation to help me understand.
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In PCA the eigknvalues must ultimately account for all of the variance. There is no probability,'no hypothesis, no test because strictly speaking PCA is not a statistical procedure
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Differentiate between prediction, projection and forecasting.
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