Make a scatterplot of the data. Describe what the data are telling you in the scatterplot. Are there any unusual points in the data set? Explain.Compute r and interpret it in a sentence.Compute r2 and interpret it in a sentence.Create a regression line that best fits the data. (Call this Model #1)What is the equation of this line?Interpret the slope of the line in a sentence, in context.Interpret the intercept of the line in a sentence, in context.In the data set, remove the data point that doesn’t seem to fit with the rest of the data. Give the coordinates of the point you removed: ( ______ , ________ ). Redo the calculations of r, r2, and the regression line. (Call this Model #2) Compare the statistics for the model with the point (Model #1) and without the point (Model #2): did any of the calculations change? Was the change small or significant? Explain how the removal of the one point affected the calculations.Now, suppose Michael Phelps, the great swimmer, decides to go back to school to be a nurse and he just so happens to take online statistics at PCC. Michael adds himself to the data set: he’s 6’4” tall and has a wingspan of 6’7”.Make a scatterplot of the data (leave out point from the last questions and add in Michael).Redo the calculations of r, r2, and the regression line. (Call this Model #3)Compare the statistics for Model #2 and Model #3: did any of the calculations change? Was the change small or significant? Explain how the addition of Michael Phelps to the class data affected the calculations.Do you think there is a relationship between students’ height and wingspan?Do you think athletes would follow the same relationship between height and wingspan as typical students? What athletes might follow this relationship? What athletes might not follow this relationship?Are there other variables that might affect a relationship between height and wingspan? How might those variables affect the relationship? ABDEFGHeightWingspan696564636766wrong63570.72061669461.160201485636019.83808541-12.1865295766657068height = y6564wingspan = x66656661676775766765666569717267666664606564666559556263 63AD666771677982656568686866646465637573706672717376B.

As per our guidelines, we are allowed to answer first three sub-parts only. Thanks X Y 65 69…

Answered: Make a scatterplot of the data.…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

Make a scatterplot of the data. Describe what the data are telling you in the scatterplot. Are there any unusual points in the data set? Explain.
Compute r and interpret it in a sentence.
Compute r² and interpret it in a sentence.
Create a regression line that best fits the data. (Call this Model #1)
1. What is the equation of this line?
2. Interpret the slope of the line in a sentence, in context.
3. Interpret the intercept of the line in a sentence, in context.
In the data set, remove the data point that doesn’t seem to fit with the rest of the data. Give the coordinates of the point you removed: ( ______ , ________ ). Redo the calculations of r, r², and the regression line. (Call this Model #2) Compare the statistics for the model with the point (Model #1) and without the point (Model #2): did any of the calculations change? Was the change small or significant? Explain how the removal of the one point affected the calculations.
Now, suppose Michael Phelps, the great swimmer, decides to go back to school to be a nurse and he just so happens to take online statistics at PCC. Michael adds himself to the data set: he’s 6’4” tall and has a wingspan of 6’7”.
1. Make a scatterplot of the data (leave out point from the last questions and add in Michael).
2. Redo the calculations of r, r², and the regression line. (Call this Model #3)
3. Compare the statistics for Model #2 and Model #3: did any of the calculations change? Was the change small or significant? Explain how the addition of Michael Phelps to the class data affected the calculations.
Do you think there is a relationship between students’ height and wingspan?
Do you think athletes would follow the same relationship between height and wingspan as typical students? What athletes might follow this relationship? What athletes might not follow this relationship?
Are there other variables that might affect a relationship between height and wingspan? How might those variables affect the relationship?