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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?
what does it mean by moving average?
Caveat We must be careful when interpreting the meaning of association. Although two variables may be associated, this association does not imply that variation in the independ
1. Assume the random vector (Trunk Space, Length, Turning diameter) of Japanese car is normally distributed and the unbiased estimators for its mean and variance are the truth. For
Standard Error The measure of reliability of the estimating equation that we have developed is given by standard error of estimate. The standard error of estimate represented b
Standard Deviation The main drawback of the deviation measures of dispersion, as discussed earlier, is that the positive and negative deviations cancel out each other. Use of t
PROPERTIES 1. The value of standard deviation remains the same if, in a series each of the observation is increased or decreased by a constant quantity. In statistical lan
how much that cost ?
how to analyzePractice-Based Evidence Back to the Future
There are situations where none of the three averages is fully satisfactory. For example, if the number of items in a series is very small, none of these av
data:59,59,65,70,74 176,179,195,210,200
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