Betekenis van:
linear regression

linear regression
Zelfstandig naamwoord
    • the relation between variables when the regression equation is linear: e.g., y = ax + b

    Synoniemen

    Hyperoniemen


    Voorbeeldzinnen

    1. The use of non-linear regression analysis is further detailed in Appendix 4.
    2. The linear regression parameters shall meet the requirements of paragraph 9.2., table 6.
    3. The correlation coefficient R2 of the linear regression between qmp,i and qmew,i shall not be less than 0,95,
    4. the correlation coefficient r of the linear regression between GSE and GEXHW shall be not less than 0,95,
    5. The continuous line represents the linear regression, the coefficients of which are calculated by the least squares method.
    6. The coefficient of determination r2 of the linear regression between qmp, i and qmew, i shall not be less than 0,95
    7. estimates and confidence limits may also be obtained using linear interpolation with bootstrapping (13), if available regression models/methods are unsuitable for the data.
    8. The arithmetic mean values over the 30 s period shall be used to calculate the least squares linear regression parameters according to equation 6 in paragraph 7.7.2.
    9. If the average speed deviates by more than 1 km/h from the reference speed, a linear regression shall be used for calculating the average torque.
    10. estimates and confidence limits may also be obtained using linear interpolation with bootstrapping (20), if available regression models/methods are unsuitable for the data.
    11. It is possible to use a weighted linear regression after having performed a linearising transformation of the response data — for instance into probit or logit or Weibull units (16), but non-linear regression procedures are preferred techniques that better handle unavoidable data irregularities and deviations from smooth distributions.
    12. It is possible to use a weighted linear regression after having performed a linearising transformation of the response data — for instance into probit or logit or Weibull units (9), but non-linear regression procedures are preferred techniques that better handle unavoidable data irregularities and deviations from smooth distributions.
    13. The correlation is represented on the charts by the linear regression line of GRP price against average GRP, which reflects the ‘average’ relationship between GRP price and GRP for all the channels over the period examined.
    14. The limit of detection for immunoassays is determined as the sum of the mean and 3x the standard deviation, based on 10 replicate analysis of the blank, to be divided by the slope value of the linear regression equation.
    15. As a consequence the slope of the linear regression line will be calculated on the basis of the prices of these two operators and will be of little statistical relevance.