(c) "The correlation between height and weight of the subjects was r = 0.63 centimeters." Choose the explanation that correctly describes the blunder in the statement. The correlation has no unit of measurement; it is just a number. The correlation must specify which is the explanatory variable and which is the response variable. Correlation can only measure a relationship between variables with the same units. Correlation cannot have decimals. The correlation can only be the values -1,0, and 1.

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(c) "The correlation between height and weight of the subjects was r = 0.63 centimeters." Choose the explanation that
correctly describes the blunder in the statement.
O The correlation has no unit of measurement; it is just a number.
The correlation must specify which is the explanatory variable and which is the response variable.
Correlation can only measure a relationship between variables with the same units.
O Correlation cannot have decimals. The correlation can only be the values –1,0, and 1.
Transcribed Image Text:(c) "The correlation between height and weight of the subjects was r = 0.63 centimeters." Choose the explanation that correctly describes the blunder in the statement. O The correlation has no unit of measurement; it is just a number. The correlation must specify which is the explanatory variable and which is the response variable. Correlation can only measure a relationship between variables with the same units. O Correlation cannot have decimals. The correlation can only be the values –1,0, and 1.
Each of the statements contains a blunder. In each case, choose the statement that correctly explains the blunder.
(a) "There is a high correlation between the sex of American workers and their income." Choose the statement that
correctly explains the blunders.
The statement must include how they categorized different level of income.
Correlation requires both variables to be quantitative.
Correlation requires both variables to be qualitative.
The correlation must give the units of the income.
(b) "We found a high correlation, r = 1.09, between students' ratings of faculty teaching and ratings made by other
faculty members." Choose the explanation that correctly describes the blunder in the statement.
There is no such thing as a high correlation.
The correlation must include the units of the ratings.
The correlation must specify which is the explanatory variable and which is the
response
variable.
The correlation must be a number between -1 and 1.
Transcribed Image Text:Each of the statements contains a blunder. In each case, choose the statement that correctly explains the blunder. (a) "There is a high correlation between the sex of American workers and their income." Choose the statement that correctly explains the blunders. The statement must include how they categorized different level of income. Correlation requires both variables to be quantitative. Correlation requires both variables to be qualitative. The correlation must give the units of the income. (b) "We found a high correlation, r = 1.09, between students' ratings of faculty teaching and ratings made by other faculty members." Choose the explanation that correctly describes the blunder in the statement. There is no such thing as a high correlation. The correlation must include the units of the ratings. The correlation must specify which is the explanatory variable and which is the response variable. The correlation must be a number between -1 and 1.
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