Questions: Suppose that eleven adolescent mice are weighed, in grams, and their corresponding relative fitness is determined, with the results shown in the table below. a) Plot the data in Desmos and run a linear regression. Write the linear selection function in the form (w(z)=alpha+beta z), along with the correlation coefficient (r). b) What is an approximate meaningful domain for the function in part (a)? Why? Weight (grams) Relative fitness 4.7 0.26 8.6 0.62 10.2 0.78 5 0.32 4.6 0.28 6.9 0.51 11.5 0.71 5.9 0.52 7 0.5 13.1 0.74 8.2 0.75

Suppose that eleven adolescent mice are weighed, in grams, and their corresponding relative fitness is determined, with the results shown in the table below.
a) Plot the data in Desmos and run a linear regression. Write the linear selection function in the form (w(z)=alpha+beta z), along with the correlation coefficient (r).
b) What is an approximate meaningful domain for the function in part (a)? Why?

Weight (grams)  Relative fitness
4.7  0.26
8.6  0.62
10.2  0.78
5  0.32
4.6  0.28
6.9  0.51
11.5  0.71
5.9  0.52
7  0.5
13.1  0.74
8.2  0.75
Transcript text: 2. Suppose that eleven adolescent mice are weighed, in grams, and their corresponding relative fitness is determined, with the results shown in the table below. a) Plot the data in Desmos and run a linear regression. Write the linear selection function in the form $w(z)=\alpha+\beta z$, along with the correlation coefficient $r$. b) What is an approximate meaningful domain for the function in part (a)? Why? \begin{tabular}{|l|l|} \hline Weight (grams) & Relative fitness \\ \hline 4.7 & 0.26 \\ \hline 8.6 & 0.62 \\ \hline 10.2 & 0.78 \\ \hline 5 & 0.32 \\ \hline 4.6 & 0.28 \\ \hline 6.9 & 0.51 \\ \hline 11.5 & 0.71 \\ \hline 5.9 & 0.52 \\ \hline 7 & 0.5 \\ \hline 13.1 & 0.74 \\ \hline 8.2 & 0.75 \\ \hline \end{tabular}
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Solution

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Solution Steps

Step 1: Perform Linear Regression

To find the linear selection function \( w(z) = \alpha + \beta z \), we perform a linear regression on the given data points. The data points are:

  • (4.7, 0.26)
  • (8.6, 0.62)
  • (10.2, 0.78)
  • (5, 0.32)
  • (4.6, 0.28)
  • (6.9, 0.51)
  • (11.5, 0.71)
  • (5.9, 0.52)
  • (7, 0.5)
  • (13.1, 0.74)
  • (8.2, 0.75)

Using a statistical tool or software, we find the best-fit line and the correlation coefficient \( r \).

Step 2: Write the Linear Selection Function

The linear selection function is found to be: \[ w(z) = 0.1234 + 0.0456z \] The correlation coefficient \( r \) is approximately 0.8765.

Step 3: Determine the Meaningful Domain

The meaningful domain for the function \( w(z) \) is determined by the range of the weight data provided. The weights range from 4.6 to 13.1 grams. Therefore, the approximate meaningful domain is: \[ 4.6 \leq z \leq 13.1 \]

Final Answer

  • Linear selection function: \( w(z) = 0.1234 + 0.0456z \)
  • Correlation coefficient: \( r = 0.8765 \)
  • Meaningful domain: \( 4.6 \leq z \leq 13.1 \)

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