Sentences with phrase «simple linear regression»

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

A final simple linear regression model was fit and concluded that the number of searches a dog performs has a statistically significant effect on a dog's energy level (t = − 3.01, d.f. = 1, p - value = 0.0033).

In particular, trends determined via simple linear regression and acceleration determined through simple quadratic fits are extremely limited and likely to be unduly influenced by the particular time slice.

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

Example of a simple linear regression model of climate change.

Growth will be determined using a simple linear regression model in which current test scores are regressed on last year's test scores.

In the more complex case, however, even a simple linear regression may not work, and you would need to use methods of constrained regression and linear / quadratic programming to make this work (if it works at all).

Since our aim is not so much to produce a definitive analysis as to obtain some idea of the existence and magnitude of the effect, we will examine a variety of possibilities... we may plausibly expect... suggests that the area effect in Figs. 5a and 5b is likely to be underestimated... A potential problem here is that area may not be a reliable measure of cumulus activity... Figs 5c and 5d suggest that a simple linear regression may not be entirely appropriate.»

Kapsch et al, 4.66 (± 0.59), Statistical For the prediction of the September sea - ice extent we use a simple linear regression model that is only based on the atmospheric water vapor in spring (April / May).

Raw model sea ice concentration data was processed using a simple linear regression model and satellite derived ice extent to produce bias corrected predictions.

Kapsch et al, 4.75 (4.13 - 5.37), Statistical For the prediction of the September sea - ice extent we use a simple linear regression model that is only based on the atmospheric water vapor in spring (April / May).

This is due to simple linear regression being ill - conditioned to errors in x variable.

Following Ockham's Razor, I started with a simple linear regression.

The comparison between the two records is made using a simple linear regression of the Hoyt + ACRIM TSI record against the CET record.

Finally, a simple linear regression was performed in order to examine whether self - compassion can significantly predict positive affect and the results are presented in Table 3 below.