regression line वाक्य
उदाहरण वाक्य
मोबाइल
- The final panel shows the transformed data with a superimposed regression line.
- Two regression lines ( red ) bound the range of linear regression possibilities.
- The reason is this : draw a linear regression line through some data points.
- "But there's lots of disagreement or discussion on where the regression line will hit zero,"
- Data points with high leverage force the regression line to be close to the point.
- Respective concentrations at the no-net-flux point are represented by the x-intercept of the regression line.
- However with 62 countries out of 88 getting no medals, the regression line will be almost flat.
- The SegReg output provides statistical confidence belts of the regression lines and a confidence block for the breakpoint.
- In the case of three major axis of this ellipse falls on the orthogonal regression line for the three vertices.
- The recovery for this method can be determined by plotting Cout-Cin over Cin and computing the slope of the regression line.
- My problem is that the regression lines, when plotted, are quite different from what I would have expected from the scatterplot.
- :* \ alpha _ { ( Q ) } is estimated as the slope of the regression line for versus where:
- For example, when estimating the median, it uses the sample median; to estimate the population regression line, it uses the sample regression line.
- The two regression lines appear to be very similar ( and this is not unusual in a data set of this size ).
- For example, when estimating the median, it uses the sample median; to estimate the population regression line, it uses the sample regression line.
- Galton invented the use of the regression line and for the choice of r ( for reversion or regression ) to represent the correlation coefficient.
- This shows that is the slope of the regression line of the standardized data points ( and that this line passes through the origin ).
- In a linear regression line example, the original data can be plotted, and a best fit line is a synthesizer created from the original data.
- These results suggest that rather than a single regression line for the data set, a segmental regression may be a better model for genuinely random distributions.
- If brain weight is plotted against body weight for primates, the regression line of the sample points can indicate the brain power of a primate species.
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