Please do not give solution in image format thanku Finally, create a table with three columns. The first column should be your X, also known as the flipper_length_mm column from your cool_penguins table. The second column should be your Y, also known as the body_mass_g column from your cool_penguins table. The third column will be something you create. It should be called predicted_body_mass_g. Using the slope and intercept that you have calculated, compute the estimated body mass using the flipper_length_mm as the predictor variable.   HINT 1: Look at Q12 of HW4 to see how you computed the regression line   HINT 2: What you produced in that question (predicted_rnaseq) is an array of predicted numbers. How do you add an array of numbers to a table as a column?   In [21]:   # While it's possible to do this in one line, breaking this problem into steps might be more helpful!prediction = ...​prediction.show(5)

COMPREHENSIVE MICROSOFT OFFICE 365 EXCE
1st Edition
ISBN:9780357392676
Author:FREUND, Steven
Publisher:FREUND, Steven
Chapter4: Financial Functions, Data Tables, And Amortization Schedules
Section: Chapter Questions
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Please do not give solution in image format thanku

Finally, create a table with three columns. The first column should be your X, also known as the flipper_length_mm column from your cool_penguins table. The second column should be your Y, also known as the body_mass_g column from your cool_penguins table. The third column will be something you create. It should be called predicted_body_mass_g. Using the slope and intercept that you have calculated, compute the estimated body mass using the flipper_length_mm as the predictor variable.

 

HINT 1: Look at Q12 of HW4 to see how you computed the regression line

 

HINT 2: What you produced in that question (predicted_rnaseq) is an array of predicted numbers. How do you add an array of numbers to a table as a column?

 

In [21]:

 

# While it's possible to do this in one line, breaking this problem into steps might be more helpful!prediction = ...​prediction.show(5)

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