Examples of Standard error of estimate in a sentence
Linear Regression, Regression lines (X on Y, Y on X) and Standard error of estimate.
Idiosyncratic risk Standard error of estimate from market model in which the firm’s monthly returns over the past five years are regressed on the S&P500 monthly returns.
Idiosyncratic risk Standard error of estimate from market model in which the firm’s monthly returns over the past five years are regressed on the S&P 500 monthly returns.
Results relating to the correlation coefficient (R), coefficient of determination (R2), adjusted coefficient of determination (Adjusted R2) and the Standard error of estimate (Se) are presented in table 4.2 below.
Correlation, Simple Regression model: Linear Regression, Conditions for simple linear regression, Standard error of estimate, Geometric Interpretation of RegressionReferences:S.P. Gupta, Statistical Methods, Sultan Chand & Sons [Vol I, Chapter 10, 11] Unit III (3 Weeks)Probability: Meaning and need, Theorems of addition and multiplication, Conditional probability, Bayes’ theorem, Random Variable- discrete and continuous.
Independent VariableMA Moving averageOLS Ordinary Least Squares testp Probability value r Pearson correlation R2 Coefficient of determination SE Standard error of estimate Sig.
The proposed equations were validated using a validation sample and obesity-related biomarkers.Results: The practical equation including age, race, height, weight, and waist circumference had high predictive ability for lean body mass (men: R2=0.91, Standard error of estimate (SEE)=2.6 kg; women: R2=0.85, SEE=2.4 kg) and fat mass (men: R2=0.90, SEE=2.6 kg; women: R2=0.93, SEE=2.4 kg).
Standard error of estimate for shrubs is 235.8 and 44.09 for Cornus.Generic bryophyte cover (all bryophytes excepting the three dominant feather mosses) decreased with increasing canopy cover change (r2 = 0.118, p < 0.0001) (Fig.
After many equations were tested, a final equation was developed for girls that look as follows: Maturity offset = -9.376 + 0.0001882 x (leg length and sitting height interaction) + 0.0022 x (age and leg length interaction) + 0.005841 x (age and sitting height interaction) - 0.002658 x (age and mass interaction) + 0.07693 x (mass by height ratio) *Interactions: A x B*Ratio: A/B x 100 R = 0.94, R2 = 0.890; Standard error of estimate (SEE) = 0.569.
Source: CRSP.3 Idiosyncratic risk Standard error of estimate from market model in which the firm’s monthly returns over the past five years are regressed on the CRSP value-weighted index monthly returns.