The phrase "a one slope model" is correct and usable in written English.
It can be used in contexts such as statistics, mathematics, or modeling where a single slope is being described or analyzed.
Example: "In our analysis, we will utilize a one slope model to predict the relationship between the variables."
Alternatives: "a single slope model" or "a univariate slope model".
For marijuana, a one slope model best fits the data (comparing a two slope model to a one slope model, the p-value was 0.09 suggesting that the two slope model did not substantially improve model fit).
For combined alcohol and marijuana, there was marginal support for two slopes (comparing a two slope model to a one slope model, the p-value was 0.053 in favor of the two slope model); however, the inflection point was at age 2395%5% confidence interval for the inflection point age 18 to 25).
Among those who consumed alcohol alone (without marijuana), Joinpoint analysis indicated that the best model fit was two slopes (comparing a two slope model to a one slope model, the p-value was <0.001 in favor of the two slope model), with an inflection point at age 2195%5% confidence interval, age 19 to age 22).
LoS and NLoS measurements have been fitted to a one-slope model in [22], where the path loss exponent accounted also for the wall losses for the NLoS measurements.
COST 231 models (one slope model and multiwall model) [12] are narrowband indoor prediction models.
Examples for empirical path loss laws include the COST 231 One Slope Model and the COST 231 Hata Model [50].
One group, the empirical models (e.g. One Slope Model [4]), utilises relatively simple formulas containing empirical parameters to estimate path-loss and therefore do not require a database of exact positions of obstacles.
In [20], a simple one-slope model was constructed for a mostly-LoS environment.
In order to estimate the energy consumption of a given testing assignment, we consider the one-slope model [17], a widely used propagation model in wireless communications.
In model 1 (one-slope model), a unit gain in BMI was statistically significantly (p ≪ 0.001) associated with an increase of 2.4% in total direct costs (figure 2 and table IV).
The one-slope model's parameters are determined for both nonfixed and fixed intercept.
