Sentences with phrase «linear regression»

A simple linear regression of stock multiples versus interest rates demonstrates that over the very long term, rates and market multiples are negatively correlated.

Further quantitative analyses of species environment relationships suggested the use of linear regression models.

We conducted multiple linear regression analyses and mediation analysis.

This exponential growth equation can be transformed into a linear form so it can be modeled using linear regression.

Example of a simple linear regression model of climate change.

Looking at the average holding period, we can see a basically flat linear regression with a fairly tight range of holding period between 4.1 and 5.1 bars.

When we do this, the name of our regression changes from linear regression to log - linear or log - normal regression.

For example, one group of authors reported using linear regression for data with only four possible outcomes: never, occasionally, sometimes, or often [67].

But a trend line produced from some statistical procedure, such as linear regression, is meaningful only if a trend actually exists.

The resulting linear regression equations were then simply combined to calculate annual balance.

This is a remarkably useful property in many contexts, and is one of the advantages of linear regression which is rarely appreciated.

There are dozens of channel for trading including linear regression channel, moving average channel, and trend line channel.

Note that this multiple linear regression technique it makes no assumptions about various solar effects.

A second linear regression was done to compare clinically referred and population children.

My main focus is to incorporate some machine learning tools into linear regression models.

Even linear regression seems complicated to me, when I think about it deeply enough.

[Response: Oddly enough linear regression is not actually linear, per se!

Does measuring the size of these two components (and other factors) by multiple linear regression sound easily doable, and might it get us closer to saying we have a physical basis?

Applying simple linear regression using ordinary least squares to the data shows that this trend is statistically significant at the 95 per cent level.

Yet this type of analysis, which uses linear regression to adjust for skill differences, can not support strong conclusions about the salaries of a single occupation.

The technique we will use for this analysis is referred to as linear regression.

We conducted multiple linear regression analysis to predict depressive symptoms of middle - aged offspring.

Perhaps the simplest case is linear regression of a single variable — we use it, for instance, to estimate the trend rate over time, as for instance of global temperature.

Note that this multiple linear regression technique it makes no assumptions about various solar effects.

Graph 4 shows descriptive statistics of indicators 1) and 2) against total travel expenses for each MP and includes fitted linear regression lines.

Perhaps it's my age (I remember when I had do do linear regressions with a pencil and paper for the sums, and a slide rule to help with the squares and square roots), but a fundamental principle of a linear least squares regression is that the best fit line passes through the point represented by the mean X and mean Y values.

We used multivariate linear regression with TV - viewing time (in minutes) as the dependent variable to control for confounding and explore possible interactions among study variables.

Despite our advice, people are still insisting that short term trends are meaningful, and so to keep them happy, standard linear regression trends in the ENSO - corrected annual means are all positive since 1998 (though not significantly so).