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Explore the Linear Regression Using Python

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You have the dataset about Abbisian cats where the number of calories the cat eats every day of a certain weight is indicated (array x - weight, y - number of calories).

  1. [Line #19] Find the correlation coefficient between x and y (in any convenient way), the slope, and the intercept of a straight line which shows the trend.
  2. [Lines #22-24] Print these values in the order mentioned above.
  3. [Line #27] Build line using function line() and save in built_line variable using list(map()).
  4. [Lines #30-31] Build the line using matplotlib.pyplot functions.

Soluzione

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Sezione 2. Capitolo 4
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Let's do one more task as practice!

Compito

Swipe to start coding

You have the dataset about Abbisian cats where the number of calories the cat eats every day of a certain weight is indicated (array x - weight, y - number of calories).

  1. [Line #19] Find the correlation coefficient between x and y (in any convenient way), the slope, and the intercept of a straight line which shows the trend.
  2. [Lines #22-24] Print these values in the order mentioned above.
  3. [Line #27] Build line using function line() and save in built_line variable using list(map()).
  4. [Lines #30-31] Build the line using matplotlib.pyplot functions.

Soluzione

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Tutto è chiaro?

Come possiamo migliorarlo?

Grazie per i tuoi commenti!

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Awesome!

Completion rate improved to 4.76
Sezione 2. Capitolo 4
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