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 continuous line represents the linear regression, the coefficients of which are calculated by the least squares method.
    2. 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.
    3. 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.
    4. estimates and confidence limits may also be obtained using linear interpolation with bootstrapping (20), if available regression models/methods are unsuitable for the data.
    5. 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.
    6. At least 10 reference values shall be introduced to the measurement system, and the measured values shall be compared to the reference values by using a least squares linear regression.
    7. The limit of detection for immunoassays is determined as 3 x the standard deviation, based on 10 replicate analysis of the blank, to be divided by the slope value of the linear regression equation.
    8. From the semi-logarithmic plot, estimate the first order rate constant, k, and its standard error by linear regression of ln (residual 14C activity or test substance concentration) versus time.
    9. The maximum sound pressure level is to be recorded, when the test vehicle is coasting, by remote-field microphones; the final result for a reference speed is obtained from a linear regression analysis.
    10. Estimate the lag phase duration tL from the degradation curve (semi-logarithmic plot) by extrapolating its linear part to zero degradation or alternatively by determining the time for approximately 10 % degradation (see Figures 1a and 1b). From the semi-logarithmic plot, estimate the first order rate constant, k, and its standard error by linear regression of ln (residual 14C activity or test substance concentration) versus time.
    11. A linearity verification shall be performed for each measurement system listed in table 6. At least 10 reference values shall be introduced to the measurement system, and the measured values shall be compared to the reference values by using a least squares linear regression.
    12. estimates and confidence limits may also be obtained using linear interpolation with bootstrapping (13), if available regression models/methods are unsuitable for the data. For estimation of the LOEC and hence the NOEC, and for effects of the test substance on growth rate, it is necessary to compare treatment means using analysis of variance (ANOVA) techniques.
    13. estimates and confidence limits may also be obtained using linear interpolation with bootstrapping (20), if available regression models/methods are unsuitable for the data. For estimation of the LOEC and hence the NOEC, it is necessary to compare treatment means using analysis of variance (ANOVA) techniques.