Each given statement contains a blunder. In each case, choose the statement that correctly explains the blunder.

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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Each given statement contains a blunder. In each case, choose the statement that correctly explains the blunder.

**Answer Bank**

1. Correlation can only measure a relationship between variables with the same units.
2. The correlation must give the units of measure.
3. Correlation requires both variables to be quantitative.
4. The correlation must be a number between -1 and 1.
5. The correlation has no unit of measurement; it is just a number.
6. The correlation must state which variable is the explanatory variable and which variable is the response variable.
Transcribed Image Text:**Answer Bank** 1. Correlation can only measure a relationship between variables with the same units. 2. The correlation must give the units of measure. 3. Correlation requires both variables to be quantitative. 4. The correlation must be a number between -1 and 1. 5. The correlation has no unit of measurement; it is just a number. 6. The correlation must state which variable is the explanatory variable and which variable is the response variable.
**Title: Understanding Common Blunders in Correlation Statements**

Each given statement contains a blunder. In each case, choose the statement that correctly explains the blunder.

1. **"There is a high correlation between the sex of American workers and their income."**

   - Blunder: Correlation requires numeric data for both variables. "Sex" is a categorical variable, not numerical.

2. **"We found a high correlation (r = 1.09) between students' ratings of faculty teaching and ratings made by other faculty members."**

   - Blunder: The correlation coefficient (r) should range between -1 and 1. A value of 1.09 is invalid.

3. **"The correlation between height and weight of the subjects was r = 0.63 centimeters."**

   - Blunder: The correlation coefficient is a unitless measure. It should not be expressed with units like "centimeters."
Transcribed Image Text:**Title: Understanding Common Blunders in Correlation Statements** Each given statement contains a blunder. In each case, choose the statement that correctly explains the blunder. 1. **"There is a high correlation between the sex of American workers and their income."** - Blunder: Correlation requires numeric data for both variables. "Sex" is a categorical variable, not numerical. 2. **"We found a high correlation (r = 1.09) between students' ratings of faculty teaching and ratings made by other faculty members."** - Blunder: The correlation coefficient (r) should range between -1 and 1. A value of 1.09 is invalid. 3. **"The correlation between height and weight of the subjects was r = 0.63 centimeters."** - Blunder: The correlation coefficient is a unitless measure. It should not be expressed with units like "centimeters."
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