1. Problem Solving а. A study was conducted at Virginia Tech to determine if certain static arm- strength measures have an influence on the "dynamic lift" characteristics of an individual. Twenty-five individuals were subjected to strength tests and then were asked to perform a weight- lifting test in which weight was dynamically lifted overhead. The data are given here. Arm Dynamic Lift, y 71.7 Strength, a 17.3 19.3 19.5 19.7 Individual 2 3 4 48.3 88.3 75.0 22.9 23.1 26.4 26.8 27.6 28.1 28.2 28.7 29.0 91.7 100.0 6 7 8 73.3 65.0 75.0 88.3 68.3 96.7 10 11 12 13 14 29.6 29.9 29.9 30.3 31.3 36.0 39.5 40.4 44.3 44.6 50.4 76.7 78.3 60.0 71.7 85.0 85.0 88.3 100.0 100.0 100.0 91.7 15 16 17 18 19 20 21 22 23 24 100.0 25 55.9 71.7

1. Problem Solving а. A study was conducted at Virginia Tech to determine if certain static arm- strength measures have an influence on the "dynamic lift" characteristics of an individual. Twenty-five individuals were subjected to strength tests and then were asked to perform a weight- lifting test in which weight was dynamically lifted overhead. The data are given here. Arm Dynamic Lift, y 71.7 Strength, a 17.3 19.3 19.5 19.7 Individual 2 3 4 48.3 88.3 75.0 22.9 23.1 26.4 26.8 27.6 28.1 28.2 28.7 29.0 91.7 100.0 6 7 8 73.3 65.0 75.0 88.3 68.3 96.7 10 11 12 13 14 29.6 29.9 29.9 30.3 31.3 36.0 39.5 40.4 44.3 44.6 50.4 76.7 78.3 60.0 71.7 85.0 85.0 88.3 100.0 100.0 100.0 91.7 15 16 17 18 19 20 21 22 23 24 100.0 25 55.9 71.7

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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***PLEASE INCLUDE EXCEL OUTPUT WITH YOUR RESPONSE
Find the least square regression line.
The owner of a movie theater company used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x,) and newspaper advertising (x,). The estimated regression equation was ý = 82.3 + 2.29x, + 1.90x2. The computer solution, based on a sample of eight weeks, provided SST = 25.1 and SSR = 23.415. (a) Compute and interpret R? and R 2. (Round your answers to three decimal places.) The proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation is 653 x . Adjusting for the number of independent variables in the model, the proportion of the variability in the dependent variable that can be explained by the estimated multiple regression equation is (b) When television advertising was the only independent variable, R2 = 0.653 and R,2 = 0.595. Do you prefer the multiple regression results? Explain. Multiple regression analysis (is preferred since both R2 and R.2 show an increased v v…
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