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  2. Linear trend estimation - Wikipedia

    en.wikipedia.org/wiki/Linear_trend_estimation

    The mathematics of linear trend estimation is a variant of the standard ANOVA, giving different information, and would be the most appropriate test if the researchers hypothesize a trend effect in their test statistic. One example is levels of serum trypsin in six groups of subjects ordered by age decade (10–19 years up to 60–69 years ...

  3. Linear regression - Wikipedia

    en.wikipedia.org/wiki/Linear_regression

    e. In statistics, linear regression is a statistical model which estimates the linear relationship between a scalar response and one or more explanatory variables (also known as dependent and independent variables ). The case of one explanatory variable is called simple linear regression; for more than one, the process is called multiple linear ...

  4. Regression analysis - Wikipedia

    en.wikipedia.org/wiki/Regression_analysis

    t. e. In statistical modeling, regression analysis is a set of statistical processes for estimating the relationships between a dependent variable (often called the 'outcome' or 'response' variable, or a 'label' in machine learning parlance) and one or more independent variables (often called 'predictors', 'covariates', 'explanatory variables ...

  5. Simple linear regression - Wikipedia

    en.wikipedia.org/wiki/Simple_linear_regression

    Graph of points and linear least squares lines in the simple linear regression numerical example The 0.975 quantile of Student's t -distribution with 13 degrees of freedom is t * 13 = 2.1604 , and thus the 95% confidence intervals for α and β are

  6. Linear model - Wikipedia

    en.wikipedia.org/wiki/Linear_model

    An example of a linear time series model is an autoregressive moving average model.Here the model for values {} in a time series can be written in the form = + + = + =. where again the quantities are random variables representing innovations which are new random effects that appear at a certain time but also affect values of at later times.

  7. Ordinary least squares - Wikipedia

    en.wikipedia.org/wiki/Ordinary_least_squares

    Here the ordinary least squares method is used to construct the regression line describing this law. In statistics, ordinary least squares ( OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model (with fixed level-one [clarification needed] effects of a linear function of a set of ...

  8. Trend analysis - Wikipedia

    en.wikipedia.org/wiki/Trend_analysis

    TRL. Technology scouting. v. t. e. Trend analysis is the widespread practice of collecting information and attempting to spot a pattern. In some fields of study, the term has more formally defined meanings. [ 1][ 2][ 3] Although trend analysis is often used to predict future events, it could be used to estimate uncertain events in the past ...

  9. Linear least squares - Wikipedia

    en.wikipedia.org/wiki/Linear_least_squares

    In statistics and mathematics, linear least squares is an approach to fitting a mathematical or statistical model to data in cases where the idealized value provided by the model for any data point is expressed linearly in terms of the unknown parameters of the model. The resulting fitted model can be used to summarize the data, to predict ...

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