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Google Advanced Data Analytics Professional Certificate • STUDY MODE

TEST YOUR KNOWLEDGE: FOUNDATIONS OF LINEAR REGRESSION

QUESTION 1 OF 3

Fill in the blank: The best fit line is the line that fits the data best by minimizing some _____.

A
residual values
B
regression function
C
loss functionCorrect Answer
D
predicted values
Explanation:

The best fit line is the line that fits the data best by minimizing some loss function. To find the best fit line, it’s necessary to measure error, which is the difference between the observed values and the predicted values generated by the model.

QUESTION 2 OF 3

What is the sum of the squared differences between each observed value and the associated predicted value?

A
Sum of squared residualsCorrect Answer
B
Ordinary least squares
C
Sum of squared predicted values
D
Residual least squares
Explanation:

The sum of squared residuals is the sum of the squared differences between each observed value and the associated predicted value. Data professionals use this sum to capture a summary of total error in the model.

QUESTION 3 OF 3

What does the circumflex symbol, or "hat" (^), indicate when used over a coefficient?

A
The coefficient is a residual
B
The coefficient is an "actual" value (not predicted)
C
The coefficient is an estimate or predicted valueCorrect Answer
D
The coefficient is a population parameter value

Ready to test your recall?

Fill in the blank: The best fit line is the line that fits the data best by minimizing some _____.

A
residual values
B
regression function
C
loss function
D
predicted values

How confident are you in this answer?