An engineer conducts and experiment, collects data, and now wishes to construct a least-squares regression to fit the data. A table of the data is given below.
X | Y |
2.1 | 5.7 |
4.1 | 37.4 |
6.3 | 61.1 |
Using the data given, calculate the coefficients of the regression y = a(1/x)+cx+b , where c = 1.3. Enter the value for the coefficient "a" below.
X | Y | X * Y | |||
2.1 | 5.7 | 11.97 | 4.41 | 32.49 | |
4.1 | 37.4 | 153.34 | 16.81 | 1398.76 | |
6.3 | 61.1 | 384.93 | 39.69 | 3733.21 | |
Total | 12.5 | 104.2 | 550.24 | 60.91 | 5164.46 |
Coefficient of Correlation
Equation of regression line is
b = 13.1503
a = -20.0596
Equation of regression line becomes
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