Recap

What does SS stand for?

• Standard Size

• Sum of Squares

• Statistical Significance

• Sample Space

What does the "Total Variation in response variable" represent?

• The variation explained by the explanatory variable

• The total variation that cannot be explained

• The sum of explained and unexplained variation

• The variation due to random error

What is the relationship between 'Explained SS' and 'Explanatory variable'?

• 'Explained SS' is independent of 'Explanatory variable'

• 'Explained SS' is a subset of 'Explanatory variable'

• 'Explained SS' is the variation not accounted for by 'Explanatory variable'

• 'Explained SS' is the variation accounted for by 'Explanatory variable'

What does 'Unexplained/Residual SS' refer to?

• The variation explained by the model

• The variation that remains unexplained by the model

• The total variation in the response variable

• The variation explained by the explanatory variable

What does SS stand for in the context of the provided analysis?

• Sample Size

• Sum of Squares

• Standard Score

• Statistical Significance

What does the numerator of the F-ratio represent in the context of the given formula?

• The variation left unexplained by the model

• The variation that is explained by the explanatory variable

• The pieces of information that contribute to the residual variation

• The pieces of information (coefficients) it requires to do this

What does the denominator of the F-ratio represent in the context of the given formula?

• The variation that is explained by the explanatory variable

• The variation left unexplained by the model

• The pieces of information that contribute to the residual variation

• The pieces of information (coefficients) it requires to do this

What is the formula for calculating the F statistic in the context of increasing statistical power?

• F = Explained SS / Residual SS

• F = Residual SS / Explained SS

• F = Model df / Residual df

• F = Residual df / Model df

According to the image, what should be done to increase the statistical power?

• Decrease the sample size

• Use as many coefficients as possible

• Exclude all significant variables from the model

• Increase our sample size and include all significant variables in the model

How is the F-ratio useful according to the text?

• It helps to measure the mean height.

• It helps to test null hypotheses.

• It helps to calculate the sum of squares.

• It helps to determine the sample size.