In a study, the protein absorption (Y) for seven concentration levels (X) of that protein were measured:
Conc. Level (Xi) |
4 |
6 |
8 |
10 |
12 |
14 |
16 |
Absorption (Yi) |
10 |
15 |
18 |
18 |
24 |
22 |
26 |
a) Caculate the ANOVA table. Use the ANOVA Table to conduct an F-Test to see if the model is significant (use α = 0.05).
b) Give a 95% confidence interval for the mean absorption when the concentration level is 10.
c) Give a 95% prediction interval for the absorption level for an individual protein whose concentration level is 10.
d) For the data in Homework 2, Question 2, calculate the ANOVA table for the data. Use the ANOVA Table to conduct an F-Test to see if the model is significant (use α = 0.05).
a) The Regression equation is
y=a+bx
SUMMARY OUTPUT |
||||||||
Regression Statics |
||||||||
Multiple R | 0.952564 | |||||||
R square | 0.907378 | |||||||
Adjusted R Square | 0.888854 | |||||||
Standad Error | 1.836145 | |||||||
Observations | 7 | |||||||
ANOVA TABLE | ||||||||
or | SS | MS | F | significance F | ||||
Regression | 1 | 165.1429 | 165.1429 | 48.98305 | 0.000917 | |||
Residual | 5 | 16.85714 | 3.371429 | |||||
Total | 6 | 182 | ||||||
Coefficients | Standard Error | t start | P-value | Lower 95% | Upper 95% | Lower 95.09% | upper 95.09% | |
Intercept | 4.428571 | 2.194613 | 2.017928 | 0.099633 | -1.212286 | 10.07 | -1.212286 | 10.07 |
Conc.Level (X) | 1.214286 | 0.173499 | 6.998789 | 0.000917 | 0.768291 | 1.66028 | 0.768291 |
1.66028 |
From above analysis
F cal=48.95
p value=0.000917<0.005
we reject H0,hence the model is significant.
In a study, the protein absorption (Y) for seven concentration levels (X) of that protein were...
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