# 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:

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

- 81% of the difference within the cash spent for maintenance is defined via means of means of the age of the auto
- 81% of cash spent for maintenance is unexplained by the age of the auto
- 90% of the cash spent for maintenance is defined by the age of the auto
- 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?

- plus and minus 10% from the potential consists of about 68% of the cases
- one-tenth of the variance of 1 variable is shared with the opposite variable
- one-tenth of 1 variable is brought on via the opposite variable
- 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:

- X and Y have typical distributions
- the variances of X and Y are equal
- there exists no courting between X and Y
- there exists no linear courting between X and Y
- 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”?

- Approximately 0. 9
- Approximately 0. 4
- Approximately 0. 0
- Approximately -0. 4
- 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?

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

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