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Answer :
Final answer:
The attempt to determine the equation for the estimated regression line is hindered by unclear data. For proper regression analysis, a clear set of paired values for the independent and dependent variables is required, which is not present in the information provided.
Explanation:
To determine the equation of the estimated regression line, we typically follow a systematic process of statistical analysis. However, the information provided is not consistent and does not provide a clear set of data that can be used for a regression analysis. Regression analysis requires a paired set of values, representing an independent variable (often denoted as x) and a dependent variable (often denoted as y), which this data does not seem to represent clearly.
For an accurate regression analysis, we need clear, organized data for both temperature (as the independent variable) and ratio (as the dependent variable). Then, we could use statistical software or methods such as the least squares method to compute the coefficients for the regression equation of the form y = a + bx, where a is the y-intercept and b is the slope of the line. Given accurate data, we would calculate a (the average of y's) and b (the result of dividing the covariance of x and y by the variance of x).
Without a clear dataset to work with, we cannot provide the estimated regression line equation.
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