Sentence examples for multiple regression fit from inspiring English sources

The multiple regression fit has also enabled the relative roles of solar irradiance and geomagnetic processes in driving the NO cooling to be determined.

This means this multiple regression fits the data (Table 6).

A slightly larger peak correlation is provided by the AL index (see Table 1, where the underlined solar wind quantities in the multiple regression fits are normalized to average values N = 5 cm−3, T = 105 K, V sw = 400 km/s, E kl = 1 mV/m, and AL = −100 nT).

All predictors assessed were validated in the multiple regression fits.

For multiple linear regression, the procedure can be repeated many times, each time producing a new dataset with the same multiple linear regression fit as the original data.

Because our forebrain weight measurements were not taken from a population balanced for important covariates, we used multiple regression to fit effects of age, body weight, sex, and non-forebrain brain weight (weight of total brain after the weight of the forebrain was substracted).

Founder effects are the estimates derived from the multiple linear regression fit above.

In this letter we show that the SABER time series of globally integrated infrared power (watts) radiated by NO can be replicated accurately by a multiple linear regression fit using the F10.7, Ap, and Dst indices.

The multiple linear regression fit of F10.7, Ap, and Dst to the observed SABER NO power tacitly assumes that these parameters adequately capture the processes associated with solar UV and geomagnetic effects that ultimately result in infrared cooling to space by NO.

This result proves that this multiple regression model fits the data and 35.4% of the variance in the data is explained by this model.

The data will be analysed by multiple regression modelling, fitting baseline measures of outcomes as covariates.