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Question: 3. Brain Weight and its Volume The file called brain.jmp contains data on the volume of 237 human…



Question: 3. Brain Weight and its Volume The file called brain.jmp contains data on the volume of 237 human...Question: 3. Brain Weight and its Volume The file called brain.jmp contains data on the volume of 237 human...Question: 3. Brain Weight and its Volume The file called brain.jmp contains data on the volume of 237 human...Question: 3. Brain Weight and its Volume The file called brain.jmp contains data on the volume of 237 human...

Show transcribed image text 3. Brain Weight and its Volume The file called brain.jmp contains data on the volume of 237 human brains, as well as its corresponding weight (g). We want to predict the brain weight(g) based on the brain volume (cm") (a) [Free Response.] Identify the Explanatory and Response Variables. Make sure you use exact wording from problem statement. (b) Fit a least squares regression model to the data (in JMP) through the commands Analyze → Fit Y by X, correctly casting the variables into their roles of "Y" and "X" Then select Fit Line from the "red triangle" menu. Using the output, report: i. The value of the sample intercept bo. Round to four decimal places. ii. The value of the sample slope b. Round to four decimal places. (e) [Free Response.] Interpret the sample slope by within the context of the problem. d) A person has a brain volume of 3478 cm3. Predict the brain weight of the person using the (e) Assume that the predicted brain weight from 3d was 1240 g. Mr. A has a brain volume of (f) Free Response.]Based on the residual from 3e, was Mr. As brain over or under linear regression equation. Round your answer to four decimal places. 3478 cm" and a brain weight of 1270g. Report the value of the residual. predicted? Explain within the context of the problem.

3. Brain Weight and its Volume The file called brain.jmp contains data on the volume of 237 human brains, as well as its corresponding weight (g). We want to predict the brain weight(g) based on the brain volume (cm") (a) [Free Response.] Identify the Explanatory and Response Variables. Make sure you use exact wording from problem statement. (b) Fit a least squares regression model to the data (in JMP) through the commands Analyze → Fit Y by X, correctly casting the variables into their roles of "Y" and "X" Then select Fit Line from the "red triangle" menu. Using the output, report: i. The value of the sample intercept bo. Round to four decimal places. ii. The value of the sample slope b. Round to four decimal places. (e) [Free Response.] Interpret the sample slope by within the context of the problem. d) A person has a brain volume of 3478 cm3. Predict the brain weight of the person using the (e) Assume that the predicted brain weight from 3d was 1240 g. Mr. A has a brain volume of (f) Free Response.]Based on the residual from 3e, was Mr. As brain over or under linear regression equation. Round your answer to four decimal places. 3478 cm" and a brain weight of 1270g. Report the value of the residual. predicted? Explain within the context of the problem.

  

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