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twenty different statistics students are randomly selected. for each of…

Question

twenty different statistics students are randomly selected. for each of them, their body temperature (°c) is mea and their head circumference (cm) is measured.
a. for this sample of paired data, what does r represent, and what does \\(\
ho\\) represent?
b. without doing any research or calculations, estimate the value of r.
c. does r change if body temperatures are converted to fahrenheit degrees?

c. the value of r is estimated to be \\(\square\\), because it is likely that body temperature and strongly positively correlated.
e. choose the correct answer below.

\\(\bigcirc\\) a. the value of r does not change, because r is not affected by relationships that are not linear
\\(\bigcirc\\) b. the value of r does not change, because r is not affected by the choice of x or y.
\\(\bigcirc\\) c. the value of r does not change, because r is not affected by converting all values of a variable to a different scale
\\(\bigcirc\\) d. the value of r changes, because r is affected by converting all values of a variable to a different scale

Explanation:

Brief Explanations

To determine the correct answer for part c, we analyze the properties of the correlation coefficient \( r \). The correlation coefficient measures the strength and direction of the linear relationship between two variables. Converting body temperatures from Celsius to Fahrenheit is a linear transformation (scaling and shifting the values). The correlation coefficient \( r \) is invariant under linear transformations of the variables (like changing the scale from Celsius to Fahrenheit) because it depends on the relative variation between the variables, not their absolute scale.

  • Option A is incorrect because the question is about scale conversion, not linearity of the relationship.
  • Option B is incorrect because the question is about scale conversion, not the choice of \( x \) or \( y \).
  • Option C is correct because \( r \) is not affected by converting all values of a variable to a different scale (linear transformation).
  • Option D is incorrect because \( r \) is not affected by scale conversion.

Answer:

C. The value of \( r \) does not change, because \( r \) is not affected by converting all values of a variable to a different scale.