A Study Of The Fuel Economy For Various Automobiles – All But One Of The Following Statements Contains A Blunder. Which Statement Is Correct

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What percentage of the variation in repair costs can be explained

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In order to have a correlation coefficient between traits A and B, it’s essential to have:

  1. one group of subjects, a few of whom possess traits of trait A, the rest possessing these of trait B
  2. measures of trait A on one group of topics and of trait B on one different group
  3. two teams of subjects, one which can be labeled as A or not A, the opposite as B or not B
  4. two teams of subjects, one which can be categorized as A or not A, the opposite as B or not B

Define the Correlation Coefficient and provides a distinct instance of its use.

If the correlation between age of an auto and cash spent for maintenance is +. 90

  1. 81% of the difference within the cash spent for maintenance is defined via means of means of the age of the auto
  2. 81% of cash spent for maintenance is unexplained by the age of the auto
  3. 90% of the cash spent for maintenance is defined by the age of the auto
  4. none of the above

Suppose that faculty grade-point common and verbal portion of an IQ check had a correlation of . 40. What proportion of the variance do these two have in common?

True or false? If false, clarify why: The coefficient of willpower could have values between -1 and +1.

True or False: Whenever r is calculated on the idea of a sample, the worth which we acquire for r is simply an estimate of the actual correlation coefficient which we’d acquire if we calculated it for your complete population.

Under a “scatter diagram” there’s a notation that the coefficient of correlation is . 10. What does this mean?

  1. plus and minus 10% from the potential consists of about 68% of the cases
  2. one-tenth of the variance of 1 variable is shared with the opposite variable
  3. one-tenth of 1 variable is brought on via the opposite variable
  4. on a scale from -1 to +1, the diploma of linear courting between the 2 variables is +. 10

The correlation coefficient for X and Y is legendary to be zero. We then can conclude that:

  1. X and Y have typical distributions
  2. the variances of X and Y are equal
  3. there exists no courting between X and Y
  4. there exists no linear courting between X and Y
  5. none of these

What would you guess the worth of the correlation coefficient to be for the pair of variables: “number of man-hours worked” and “number of models of labor completed”?

  1. Approximately 0. 9
  2. Approximately 0. 4
  3. Approximately 0. 0
  4. Approximately -0. 4
  5. Approximately -0. 9

In a given group, the correlation between peak measured in ft and weight measured in kilos is +. 68. Which of the subsequent would alter the worth of r?

  1. height is expressed centimeters.
  2. weight is expressed in Kilograms.
  3. both of the above will have an effect on r.
  4. neither of the above modifications will have an effect on r.

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