Bugl — code interview practice that feels like a game

Lesson 1

Data Science - Linear Regression

We are missing one important variable that affects Calorie_Burnage, which is the Duration of the training session.

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Lesson 2

Data Science - Regression Table

The output from linear regression can be summarized in a regression table.

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Lesson 3

Data Science - Regression Table - Info

- Dep. Variable: is short for "Dependent Variable". Calorie_Burnage is here the dependent variable. The Dependent variable is here assumed to be explained by Average_Pulse. - Model: OLS is short for…

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Lesson 4

Data Science - Regression Table - Coefficients

- Coef is short for coefficient. It is the output of the linear regression function.

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Lesson 5

Data Science - Regression Table: P-Value

Now, we want to test if the coefficients from the linear regression function has a significant impact on the dependent variable (Calorie_Burnage).

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Lesson 6

Data Science - Regression Table: R-Squared

R-Squared and Adjusted R-Squared describes how well the linear regression model fits the data points:

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Lesson 7

Data Science - Linear Regression Case

Create a Linear Regression Table with Average_Pulse and Duration as Explanatory Variables:

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DS Advanced

Data Science - Linear Regression

Data Science - Regression Table

Data Science - Regression Table - Info

Data Science - Regression Table - Coefficients

Data Science - Regression Table: P-Value

Data Science - Regression Table: R-Squared

Data Science - Linear Regression Case

DS Advanced

Data Science - Linear Regression

Data Science - Regression Table

Data Science - Regression Table - Info

Data Science - Regression Table - Coefficients

Data Science - Regression Table: P-Value

Data Science - Regression Table: R-Squared

Data Science - Linear Regression Case