A multiple regression model is to be constructed to predict the heart rate in beats per minute (bpm) of a person based upon their age, weight and height. Data has been collected on 10 randomly selected individuals: Heart Rate Age Weight Height 81 51 211 71 83 41 108 69 112 48 216 69 63 34 105 69 99 47 226 66 82 37 102 64 57 23 122 62 70 27 261 67 88 24 251 72 62 38 101 61 Copy-and-paste the data into an Excel spreadsheet. Use Excel to perform all calculations. a) Calculate the multiple regression equation using all three explanatory variables. Write the equation in the answer blank. Round all of the equation coefficient values to two (2) decimal places. You may use the variables names or replace them with y, x1, x2, and x3. b) What percentage of variation in heart rates is explained by the regression model using all three variables? c) Using the 10% level of significance, which predictor variables are statistically significant predictors of heart rate? d) Remove the Height variable and re-calculate the regression equation. Write the new equation. Round to two (2) decimal places.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
A multiple regression model is to be constructed to predict the heart rate in beats per minute (bpm) of a person based upon their age, weight and height. Data has been collected on 10 randomly selected individuals: Heart Rate Age Weight Height 81 51 211 71 83 41 108 69 112 48 216 69 63 34 105 69 99 47 226 66 82 37 102 64 57 23 122 62 70 27 261 67 88 24 251 72 62 38 101 61 Copy-and-paste the data into an Excel spreadsheet. Use Excel to perform all calculations. a) Calculate the multiple regression equation using all three explanatory variables. Write the equation in the answer blank. Round all of the equation coefficient values to two (2) decimal places. You may use the variables names or replace them with y, x1, x2, and x3. b) What percentage of variation in heart rates is explained by the regression model using all three variables? c) Using the 10% level of significance, which predictor variables are statistically significant predictors of heart rate? d) Remove the Height variable and re-calculate the regression equation. Write the new equation. Round to two (2) decimal places.
Expert Solution
steps

Step by step

Solved in 2 steps

Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman