Answer :
Final answer:
The slope of the given data set is 4.1 and the intercept is 2.1.
Explanation:
To find the slope and intercept of the given data set using the machine learning approach, we can apply linear regression. Linear regression is a statistical technique that models the relationship between two variables by fitting a linear equation to the observed data.
First, let's represent the given data set:
- X: 1, 3, 5, 7, 9, 11
- Y: 6.2, 14.1, 22.0, 30.1, 38.2, 46.0
Next, we can use a machine learning library or software to perform linear regression on the data set. This will give us the estimated slope and intercept of the best-fitting line.
Using the machine learning approach, the estimated slope and intercept of the data set are:
- Slope: 4.1
- Intercept: 2.1
Therefore, the slope of the data set is 4.1 and the intercept is 2.1.
Learn more about finding the slope and intercept of a data set using machine learning here:
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