A national wild boar research foundation reported the following correlations. Th
ID: 3180818 • Letter: A
Question
A national wild boar research foundation reported the following correlations.
The correlation between boar weight and boar longevity is -0.30.
The correlation between boar weight and boar reproductive success is 0.20.
Based on these correlations, which of the following statements are true?
boar weight is more strongly related to boar longevity than to boar reproductive success
boars that weigh more are less reproductively successful
Heavier boars tend to be more reproductively successful
boars that weigh more are likely to die earlier
Heavier boars tend to live longer
The correlation between two variables related to the same sample is a scaled quantitative measure. What is used to scale this measurement?
the means of the variables
the standard deviations of the variables
the standard errors of the variables
the coefficients of variation of the two variables
What implications can you draw based on the coefficient of variation from these two data sets?
Summary statistics for WEIGHT and HEIGHT (both ratio variables) of American adults in different units:
Weight Height
Mean 160 pounds 66 inches
SD 30 pounds 4 inches
you cannot compare these two data sets using a coefficient of variation because they are in different units
that both sets of data are equally variable
that the weight data is more variable than the height data
that the height data is more variable than the weight data
boar weight is more strongly related to boar longevity than to boar reproductive success
boars that weigh more are less reproductively successful
Heavier boars tend to be more reproductively successful
boars that weigh more are likely to die earlier
Heavier boars tend to live longer
Explanation / Answer
The correct option is indicated in bold.
A national wild boar research foundation reported the following correlations.
The correlation between boar weight and boar longevity is -0.30.
The correlation between boar weight and boar reproductive success is 0.20.
Based on these correlations, which of the following statements are true?
boar weight is more strongly related to boar longevity than to boar reproductive success
boars that weigh more are less reproductively successful
Heavier boars tend to be more reproductively successful
boars that weigh more are likely to die earlier
Heavier boars tend to live longer
The correlation between two variables related to the same sample is a scaled quantitative measure. What is used to scale this measurement?
the means of the variables
the standard deviations of the variables
the standard errors of the variables
the coefficients of variation of the two variables
What implications can you draw based on the coefficient of variation from these two data sets?
Summary statistics for WEIGHT and HEIGHT (both ratio variables) of American adults in different units:
Weight Height
Mean 160 pounds 66 inches
SD 30 pounds 4 inches
you cannot compare these two data sets using a coefficient of variation because they are in different units
that both sets of data are equally variable
that the weight data is more variable than the height data
that the height data is more variable than the weight data
boar weight is more strongly related to boar longevity than to boar reproductive success
boars that weigh more are less reproductively successful
Heavier boars tend to be more reproductively successful
boars that weigh more are likely to die earlier
Heavier boars tend to live longer
Related Questions
drjack9650@gmail.com
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.