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Use the machine learning approach to find the slope and intercept of the following data set:

X: 1, 3, 5, 7, 9, 11
Y: 6.2, 14.1, 22.0, 30.1, 38.2, 46.0

Starting point: (1, 1)

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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