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The term "linear regression coefficient" is correct and can be used in written English.
It is typically used in statistics and refers to the numerical value that describes the strength of the relationship between two variables. For example, if we conduct a linear regression to find the relationship between the number of hours of study and a student's math grade, the linear regression coefficient would indicate how much a student's grade increases with each hour of study.
Exact(60)
Experimental results for temperature measurement demonstrated reasonable linearity and repeatability, related linear regression coefficient of the experimental result is 99.94%.
The linear regression coefficient was r2 = 0.98 (Figure 6).
The table shows that the values of the linear regression coefficient (R) are greater than 0.99.
The linear regression coefficient (R 2) was in the range of 0.7954 0.9641.
Nonetheless, the values of linear regression coefficient for Bangham's model were not in significantly higher range >0.95.
TAG was defined as the linear regression coefficient between intraluminal attenuation in HU and length from the ostium (Fig. 1).
The most remarkable result is that the linear regression coefficient for is much bigger than those of and.
Linear regression coefficient, the 95%% confidence intervals, p value and R2 values were estimated in all analyses.
We use statistical functionals of mean, median, standard deviation, maximum, minimum, range (maximum-minimum) and linear regression coefficient.
r and (b^{OLS}) are the Spearman rank correlation and linear regression coefficient, respectively, between the corresponding variable and either ASY or (varDelta ASY) based rankings.
Δϕ is better correlated with SZA than ΔA, as indicated by linear regression coefficient (r) values of 0.754 for Δϕ and 0.663 for ΔA against SZA.
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