The statistical software output for this problem is:
Simple linear regression results:
Dependent Variable: Fluorescence
Independent Variable: Concentration
Regression Statistics | |
Multiple R | 0.999458 |
R Square | 0.998916 |
Adjusted R Square | 0.998644 |
Standard Error | 0.274187 |
Observations | 6 |
Parameter estimates:
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |||
Intercept | 1.01 | 0.255254 | 3.956838 | 0.016722 | 0.3013 | 1.7187 | ||
0 | 1.989286 | 0.032772 | 60.70146 | 4.41E-07 | 1.898297 | 2.080274 |
Analysis of variance table for regression model:
df | SS | MS | F | Significance F | |
Regression | 1 | 277.008 | 277.008 | 3684.667 | 4.41E-07 |
Residual | 4 | 0.300714 | 0.075179 | ||
Total | 5 | 277.3088 |
Hence,
The linear equation is
y = 1.93 x + 1.52
y-intercept
x= 0
y = 1.52 +- 0.35
Therefore,
Option A is correct
Question 13 10 pts In a fluorescence spectrometer standard aqueous solutions of the fluorescent d...