Examples of using Regression coefficient in English and their translations into Danish
{-}
-
Colloquial
-
Official
-
Medicine
-
Financial
-
Ecclesiastic
-
Official/political
-
Computer
Where σ is the standard error of the regression coefficient.
All of the regression coefficients are statistically significant at the 95 percent level of confidence; i.e.
This equation indicates even more deviation of the regression coefficient from unity.
The regression coefficient is 0.82, indicating that the projected temperature change for the model should be reduced 18 percent.
Almost all of its predictions concerning the regression coefficients are found to be wrong.
However the regression coefficient for the magnetic quantum number k is not significantly different from zero at the 95 percent level of confidence.
The susceptibility of Argon is -19.6,significantly different from the regression coefficient of -9.4.
The beta for the market portfolio is the regression coefficient for the regression of rm on rm, which of course is equal to 1.0.
Χnoble 0.899χHX R2 0.996(Standard Error of Coefficient) σ 0.0163 This equation indicates even more deviation of the regression coefficient from unity.
It is notable andperhaps significant that the regression coefficient for log(M) is almost exactly 1/8.
The t-ratio for the the regression coefficient of log(M) is 6.47 and therefore it is significantly different from zero at the 99 percent level of confidence.
The susceptibility of Argon is -19.6, significantly different from the regression coefficient of -9.4. The regression line is not a particularly good fit.
All of the regression coefficients are statistically significant at the 95 percent level of confidence; i.e., the t-ratios are greater than 2 in magnitude.
Also fits a multiple linear regression model for comparison purposes, and performs chi-square tests andcomputes Wald's statistics for the logistic regression coefficients.
The regression coefficient is -0.1, indicating that the projected changes from the Hadley model should to scaled back 90 percent and changed in direction.
The least squares regression line for the data is: χdiam -36.5 -9.4nR2 0.764 The susceptibility of Argon is -19.6,significantly different from the regression coefficient of -9.4.
However the regression coefficient for the magnetic quantum number k is not significantly different from zero at the 95 percent level of confidence. Its t-ratio is only 0.56.
If the regression constant is suppressed the regression result is: χnoble 0.899χHX R2 0.996(Standard Error of Coefficient) σ 0.0163 This equation indicates even more deviation of the regression coefficient from unity.
The regression coefficients are not close to the theoretical values but they are of the proper order of magnitude for accepting blood pressure as being proportional to scale.
Although the regression coefficients for order number are significantly different from the value of 0.35 found for the planets the values of the same order of magnitude and reasonably close.
Although the regression coefficient seems reasonably close to unity the statistical significance of the difference(1-0.947=0.053) has to be judged relative to the standard error of the regression coefficient, 0.02086.
The so-called random coefficient regression first developed by Swamy 28.