QuiztudyPREMIUM
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 valuesB
regression functionC
loss functionCorrect AnswerD
predicted valuesExplanation:
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 AnswerB
Ordinary least squaresC
Sum of squared predicted valuesD
Residual least squaresExplanation:
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 residualB
The coefficient is an "actual" value (not predicted)C
The coefficient is an estimate or predicted valueCorrect AnswerD
The coefficient is a population parameter valueReady 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?