18.In a regression analysis if SSE = 200 and SSR = 300, then the coefficient of determination isa.0.6667b.0.6000c.0.4000d.1.5000ANS: BPTS: 1TOP: Regression Analysis Show 19.If the coefficient of correlation is a positive value, then the regression equationPTS: 1TOP: Regression Analysis Get answer to your question and much more 20.In regression and correlation analysis, if SSE and SST are known, then with this information thePTS: 1TOP: Regression Analysis Get answer to your question and much more 21.SSE can never bePTS: 1TOP: Regression Analysis Get answer to your question and much more
22.If the coefficient of correlation is a negative value, then the coefficient of determinationa.must also be negativeb.must be zeroc.can be either negative or positived.must be positiveANS: DPTS: 1TOP: Regression Analysis 23.If two variables, x and y, have a strong linear relationship, thenPTS: 1TOP: Regression Analysis Get answer to your question and much more How do you find the coefficient of determination using SSR and SSE?The formula for the coefficient of determination. The sum of squares of errors (SSE in short), also called the residual sum of squares: SSE= ∑(yi - ŷi)² ... . The regression sum of squares (shortened to SSR), which is sometimes also called the explained sum of squares: SSR = ∑(ŷi - ȳ)². What is the coefficient of determination regression?What is the Coefficient of Determination? The coefficient of determination (R² or r-squared) is a statistical measure in a regression model that determines the proportion of variance in the dependent variable that can be explained by the independent variable.
What is SSE SSR in linear regression?SSR is the additional amount of explained variability in Y due to the regression model compared to the baseline model. The difference between SST and SSR is remaining unexplained variability of Y after adopting the regression model, which is called as sum of squares of errors (SSE).
How do you calculate rWe can also manually calculate the R-squared of the regression model: R-squared = SSR / SST.. Sum of Squares Total (SST): 1248.55.. Sum of Squares Regression (SSR): 917.4751.. Sum of Squares Error (SSE): 331.0749.. |
In a regression analysis if sse = 200 and ssr = 300, then the coefficient of determination is
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