Ssr sst sse
[DOC File]A fitted value is simply another name for a predicted ...
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SST. is the total sum of squared deviations about . SSE. is the total sum of squared deviations about the regression line . . SSR. is the total sum of squared deviations due to regression, i.e. SSR, however, is most easily found by computing the difference SSR = SST – SSE. Interpreting r2
[DOC File]Derivation of the Ordinary Least Squares Estimator
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If X explains no variation in y, the SSE will equal zero. Looking at equation (15), if SSR = SST a value of zero for R2 is obtained. On the other hand, if X explains all the variation in y, SSR will equal zero. In this case, R2 equals one. The values of [0 - 1] are just the theoretical range for …
[DOC File]MIS 175 Section 4 - Second Midterm Examination
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SSE = SST b. SSE = 1 c. SSR = SSE d. SSR = SST 12. The coefficient of correlation. a. is the square of the coefficient of determination b. is the square root of the coefficient of determination c. is the same as r-square d. can never be negative 13. In regression analysis, if the independent variable is measured in pounds, the dependent variable
[DOC File]Oklahoma City Community College
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SSE = 1 c. SSR = SSE d. SSR = SST ____ 14. In the case of a deterministic model, if a value for the independent variable is specified, then the. a. exact value of the dependent variable can be computed b. value of the dependent variable can be computed if the same units are used c. likelihood of the dependent variable can be computed d. None of ...
[DOC File]Columbia University in the City of New York
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SST = 6230.236, SSR = 4034.414 and SSE = 2195.822. These can be found under the label "SS" in the ANOVA section of the output. Coefficient of Determination. The coefficient of determination is simply the percentage of the total variation in Y explained by the regression: SSR/SST. That is, R2 = SSR/SST = 4034.414/6230.236 = 0.648 = 64.8%.
[DOC File]Chapter 11 – Simple linear regression
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MAR 5621. Advanced Statistical Techniques. Summer 2003. Dr. Larry Winner Chapter 11 – Simple linear regression. Types of Regression Models (Sec. 11-1)
[DOC File]Derivation of the Ordinary Least Squares Estimator
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From the equation SST = SSR + SSE, the coefficient of determination can be derived. Taking this equation and dividing both sides by SST one obtains: (22) This equation is equal to one because any number divided by itself equals one. Rearranging this equation the …
[DOC File]CHAPTER FIFTEEN - National Chengchi University
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15. The correct relationship between SST, SSR, and SSE is given by . a. SSR = SST + SSE. b. SSR = SST - SSE. c. SSE = SSR - SST. d. None of these alternatives is correct. Exhibit 15-1. In a regression model involving 44 observations, the following estimated regression equation was obtained. = 29 + 18X1 +43X2 + 87X3. For this model SSR = 600 and ...
[DOC File]Sacramento State
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SST = SSE + SSA + SSB. This is a direct result of the discussion in the previous bullet and the relation SST = SSE + SSR in one-way ANOVA. You should take a moment to verify the sums of squares and degrees of freedom in the ANOVA table for this example reproduced below (with , , and ).
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