Regarding the criterion used to decide on the line that best fits a set of data points, what is the criterion called? Question 20 options: Sum of Squares Regression Line Slope of the Regression Line Least Squares
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The regression line is the straight line that best fits a set of data points according to what? A. Least-squares criterion. B. Greatest-squares criterion. C. Most accurate regression criterion. D. None of the above.
Adi S.
What criterion do we use to decide on the "least squares regression" line through data? Group of answer choices It is the line for which the sum of all the squared deviations between the points and the line (in the X direction) is minimized. It is the line for which the sum of all the squared deviations between the points and the line (in the Y direction) is minimized. It is the line for which the sum of all the deviations between the points and the line (in the X direction) is minimized. It is the line for which the sum of all the deviations between the points and the line (in the Y direction) is minimized.
Samriddhi S.
20. The best fitting regression line is the line that a. Minimizes the deviations between the predicted values and the mean b. Minimizes the sum of the squared errors around the regression line c. Passes through the most points in a scatterplot d. Minimizes the errors around the regression line 21. When regressing Y on predictor variable X, the unstandardized slope can be interpreted as a. The value Y when X = 0 b. The change in Y with a standard deviation change in X c. The change in X with a 1-unit change in Y d. The change in Y with a 1-unit change in X 22. If the correlation between X and Y is negative, the slope of the regression line must be a. Either positive or negative b. Zero c. Negative d. Positive
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