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Learn Challenge | Correlation
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.

Solution

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SectionΒ 2. ChapterΒ 4

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book
Challenge

Let's do one more task as practice!

Task

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.

Solution

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 2. ChapterΒ 4
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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