Examples of using Linear regression in English and their translations into Norwegian
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Computer
Simple linear regression.
Version 2016.2 adds motion charts and faster linear regression.
To analyze the data two linear regression analyses were conducted.
Linear regression is the predominant empirical tool in economics.
Knowledge of linear regression.
This is a form of technical analysis(an indicator),also referred to as linear regression.
Example 2- Simple Linear Regression.
Perform basic linear regression analysis to test for covariation with parental income.
Correlation, simple linear regression.
Linear Regression can be applied to cross-sectional data or as it is in or case time series data.
Forecast will be produced using the folloeing linear regression formula.
To analyze the data, three linear regression models were developed.
The known values are existing x-values and y-values, andthe new value is predicted by using linear regression.
Curve fitting for a wide range of model functions from simple linear regression to non-linear models with multiple data sets.
The course gives an overview over important models andtechniques for regression analysis outside standard linear regression.
Many researchers estimate the heterogeneity of treatment effects using linear regression, but newer methods rely on machine learning;
First, Einav andcolleagues made these estimates separately for items of different prices and without using linear regression.
Carry out simple linear regressions and hypothesis test regarding to the equation of regression line with inclination and calculate the prediction interval.
Configure at least basic indicators- Stoch,RSI, linear regression indicator.
Bayesian multivariate linear regression Comparison of general and generalized linear models K. V. Mardia, J. T. Kent and J. M. Bibby 1979.
As the wear in this method typically follows a linear pattern,the data is plotted using linear regression.
In particular linear regression, analysis of variance, design of experiments, logistic regression, survival analysis and simple time-series analysis is treated.
The course will further contain frequency analysis andfiltering of time series, and methods for identifying spatial coherences such as linear regressions, correlation analysis, and empirical orthogonal functions.
The advantage of the Linear Regression Indicator over a normal moving average is that it has less lag than the moving average, responding quicker to changes in direction.
When performing a linear 3 point calibration, you get only one slope andone offset value based on the line drawn by linear regression(fitted using the least squares approach) between all 3 calibration points.
Linear Regression is based on the straight line method, where Y is the dependent variable(endogenous), X is independent or exogenous,‘a' is an intercept, b- slope, t is the unit of time.
Even if you are not particularly interested in auctions on eBay, you have to admire the way that Figure 2.7 andFigure 2.8 offer a richer understanding of eBay than simple linear regression estimates that assume linear relationships and combine many different categories of items.
Interaction effects within both linear regressions revealed that the use of instructional and positive feedback develop leadership differently with age for female and male football players.
First, using linear regression they estimated that higher starting prices decrease the probability of a sale, and that higher starting prices increase the final sale price, conditional on a sale occurring.