spare plastics S2009) make super balls bounce even higher. They believe this new additive may even have application in the space program. For example, if the shuttle were coated in it, space junk would simply bounce off. Han and Groman have tested the performance of their S2009additive by varying the amount they mix in plastic, molding the plastic into 0.5 in. diameter balls, then measuring how high (in feet) each ball bounces when dropped from a height of 3 feet. They conducted their test on 60 different balls (one each for 60 different additive levels), and used regression analysis to estimate the relationship between bounce, the dependent variable, and S2009, the independent variable, as reflected in the following model: Bounce; =Bo + B1 S2009; +ɛ; A partial output of the regression is given below. Use this information to answer the following questions. SUMMARY OUTPUT Regression Statistics Multiple R 0.6121 K R Square Adjusted R Square Standard Error 5.4414 Observations 60 ANOVA df SS MS F Significance F Regression 34.7451 Residual 1717.3069 29.6087 Total 2746.0660 Standard Error 0.7044 0.1909 t Stat P-value Lower 95% Coefficients 1.0260 Intercept A B S2009 1.1251 D E

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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A=

B=

C=

Professors Han and Groman dabble in chemical engineering in their spare time. They have developed a plastics additive(S2009) that will
make super balls bounce even higher. They believe this new additive may even have application in the space program. For example, if
the shuttle were coated in it, space junk would simply bounce off. Han and Groman have tested the performance of their S2009additive
by varying the amount they mix in plastic, molding the plastic into 0.5 in. diameter balls, then measuring how high (in feet) each ball
bounces when dropped from a height of 3 feet. They conducted their test on 60 different balls (one each for 60 different additive levels),
and used regression analysis to estimate the relationship between bounce, the dependent variable, and S2009, the independent
variable, as reflected in the following model:
Bounce; =Bo + B1 S2009; +ɛ;
A partial output of the regression is given below. Use this information to answer the following questions.
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.6121
R Square
K
Adjusted R Square
Standard Error
5.4414
Observations
60
ANOVA
df
SS
MS
F
Significance F
Regression
34.7451
Residual
1717.3069
29.6087
Total
2746.0660
Coefficients
Standard Error
t Stat
P-value
Lower 95%
0.7044
0.1909
Intercept
1.0260
A
B
S2009
1.1251
D
E
Transcribed Image Text:Professors Han and Groman dabble in chemical engineering in their spare time. They have developed a plastics additive(S2009) that will make super balls bounce even higher. They believe this new additive may even have application in the space program. For example, if the shuttle were coated in it, space junk would simply bounce off. Han and Groman have tested the performance of their S2009additive by varying the amount they mix in plastic, molding the plastic into 0.5 in. diameter balls, then measuring how high (in feet) each ball bounces when dropped from a height of 3 feet. They conducted their test on 60 different balls (one each for 60 different additive levels), and used regression analysis to estimate the relationship between bounce, the dependent variable, and S2009, the independent variable, as reflected in the following model: Bounce; =Bo + B1 S2009; +ɛ; A partial output of the regression is given below. Use this information to answer the following questions. SUMMARY OUTPUT Regression Statistics Multiple R 0.6121 R Square K Adjusted R Square Standard Error 5.4414 Observations 60 ANOVA df SS MS F Significance F Regression 34.7451 Residual 1717.3069 29.6087 Total 2746.0660 Coefficients Standard Error t Stat P-value Lower 95% 0.7044 0.1909 Intercept 1.0260 A B S2009 1.1251 D E
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