Least squares regression divides up Y-deviations into "explained" and "unexplained" parts.
True
False
true
(the explained variation is denoted by sum of square of regression and unexplained variation by sum of square of error)
Least squares regression divides up Y-deviations into "explained" and "unexplained" parts. True False
What are the pitfalls of simple linear regression? True or False for each Lacking an awareness of the assumptions of least squares regression. Not knowing how to evaluate the assumptions of least squares regressions. Not knowing the alternatives to least squares regression if a particular assumption is violated. Using a regression model without knowledge of the subject matter. Extrapolating outside the relevant range of the X and Y variables. Concluding that a significant relationship identified always reflects a cause-and-effect relationship.
Consider two variables and the least squares equation for their line y=.8565 + 0.40248 x. Regression analysis revealed the following: s = 0.517508 r = .9838 What percentage of the variation of y cannot be explained by the variation of x?
Answer the question True or False. The least squares model provides very good estimates of y for values of x far outside the range of x values contained in the sample. O True O False
1. In regression analysis, the Sum of Squares Total (SST) is a. The total variation of the dependent variable b. The total variation of the independent variable c. The variation of the dependent variable that is explained by the regression line d. The variation of the dependent variable that is unexplained by the regression line Question 2 In regression analysis, the Sum of Squares Regression (SSR) is A. The total variation of the dependent variable B. The total variation of the independent variable...
Objective 2: Interpret the Slope and the y-Intercept of the Least-Squares Regression Line 4.2 Least-Squares Regression 4.2.13 0 of 1 Point Question Help A student at a junior college conducted a survey of 20 randomly selected full-time students to determine the relation between the number of hours of video game playing each week, x, and grade-point average, y. She found that a linear relation exists between the two variables. The least-squares regression line that describes this relation is y0.0575x +...
5. (2 points) When a least-squares linear regression equation is constructed based upon a data set, and a line is constructed from this equation, which (Gif any) of the following is a. The point (F,) must be on the regression line. b. The point (0,b) must be on the regression line. c. The point (0,b) must be on the regression line. d. None of the above statements are false. All of the above statements are true. ons for ss is...
For the data set below, (a) Determine the least-squares regression line. (b) Graph the least-squares regression line on the scatter diagram. 6 7 y 7 10 8 14 17 (a) Determine the least-squares regression line. (Round to four decimal places as needed.)
For the data set below (a) Determine the least-squares regression line. (b) Graph the least-squares regression line on the scatter diagram. x 4 5 6 7 9 y 710 8 14 17 (a) Determine the least-squares regression line. (Round to four decimal places as needed.)
The method of least squares picks the slope and intercept of the sample regression equation by minimizing SSE. True False
in the context of regression, determine wether the following statement is true or false. If there is a very strong correlation between x and y, the amount of unexplained variation should be relatively large.