The phrase "a straight regression" is correct and usable in written English.
It can be used in statistical contexts to refer to a type of regression analysis that assumes a linear relationship between variables.
Example: "In our study, we applied a straight regression to analyze the relationship between hours studied and exam scores."
Alternatives: "linear regression" or "direct regression".
However, it was found also that if the target-auxiliary variable relationship for any sample did not pass through the origin, it could easily be made to do so by fitting a straight line regression to the data and then transforming the sample data by subtracting the regression constant from all the target variable values in the sample.
A straight line regression is appropriate for the mothers' 8-oxodG data, based on the scatter plot.
The observed values should lie as close as possible on the straight regression line, where the slope gives an estimate of the fractal dimension.
The estimated annual percentage changes in the incidence of AKI were determined by fitting a straight-line regression of the natural logarithm of the rates, with the calendar year used as an independent variable.
To estimate whether a change in the proportion of admissions of patients aged ≥ 80 years occurred over the study period, a straight-line regression of the natural logarithm of the proportion of admissions aged ≥ 80 years was fitted with calendar year as the independent variable.
A straight line with regression coefficient (R2) of 0.997 was obtained indicating good linearity.
A plot of C/θ vs C (concentration of inhibitor) resulted in a straight line with regression coefficient values close to 1 as shown in Fig. 6, Open image in new window Fig. 6 Langmuir adsorption isotherm plots for MS at different concentrations of FA and EA.
A principal component or a PLS component is a straight least-squares regression line (or plane) through the sample points in the multidimensional space (Sjogren et al. 1996).
This plot consists of a straight line with a regression coefficient as 0.998.
The obtained plot consists of a straight line with the regression coefficient (R 2) which is almost near to unity.
