Sentences with phrase «of regression lines»

Such information also facilitates the plotting of regression lines in figure form.

Thin lines indicate the 95 % confidence interval of regression lines.

Slopes of the regression lines (mean ± SEM) in Fig. 4B and C were − 7.6 ± 1.9 and − 7.3 ± 2.3 spk / s per deg, respectively.

Also, your statement about a near straight line, with all data points lined up tightly, showing exceptional goodness of fit of a regression line, would not lead to the conclusion that carbohydrate intake is the only driver of performance.

Variation in species numbers can not be explained by the increase in area, even when incorporating estimations of changes in environmental conditions (interpreted logarithmically from the intercept) and the rate of increase due to the species present (interpreted from the gradient of the regression line).

Note that while the changes appear to lie within the uncertainties quoted, those uncertainties are related solely to the fitting of an regression line and have nothing to do with structural problems and so aren't really commensurate.

Sign indicates whether the slope of the regression line was positive (+) or negative -LRB----RRB-.

The years used to determine the slope and intercept of the regression line are 2012 - 2014.

Almost all the uncertainty in fact arose from the statistical fitting of the regression line, with only a small contribution from uncertainties in radiative forcing measurements, and very little from errors in the temperature data.

It worse than that: it pushes the credible region for the slope of the regression line so that the slope estimate itself is nowhere near the middle.

Or are you testing which of the values (representing regressions) in the population of values is different from a «zero» that is actually the slope of the regression line for the whole period?

procedures that... first infer a linear relation (regression line) between ECS and variables... from models and then use that linear relation to constrain ECS given observations... can be strongly influenced by «bad» models that are not consistent with the data but exert large leverage on the inferred slope of the regression line.

Not exact matches

Subramanian tested the relationship between P / E and the 12 - month returns using R 2, a statistical measure that reveals how well a regression line — the line of best fit you see — explains the relationship.

(R - square is a statistical measure that reveals how well a regression line — the line of best fit you see — explains the relationship between two variables.

Note that in each of the scenarios above, we assume that GE will trade at par (on the regression trend line) with its peers based on its ROIC.

Evolutionary progress, no matter how the concept of progress may be defined (and no generally accepted definition has yet appeared), has undoubtedly occurred in some lines, but in other lines there has been stasis or even partial regression.

Seen in this light the modern totalitarian regimes, whatever their initial defects, are neither heresies nor biological regressions: they are in line with the essential trend of «cosmic» movement.

It has nothing to do with the o - line's decline in play last year or Dak's regression the 2nd half of the season.

When we see this type of downwards regression, it is typically an indication that bookmakers have adjusted their lines to account for this previously held advantage.

I think that the silver lining of the sleep regression is the special bonding time that Dad can get with his older child.

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

EZH2 inhibition delayed tumor onset in KDM6A - null cells and caused regression of KDM6A - null bladder tumors in both patient - derived and cell line xenograft models.

The most familiar example of this might be linear regression, which finds a line that approximates a distribution of data points.

In experiments with cancer cell lines, the PIM1 inhibitors killed cells in a MYC - dependent manner, and in two different mouse models — one in which mice were implanted with patient tumors and the other in which a genetic alteration of MYC predisposes the mice to tumor development — the administration of PIM1 inhibitors resulted in significant tumor regression.

Six of the 7 cases in the autistic group had neuron counts that met or exceeded the regression line of those in the control group, indicating that they had as many or more neurons than would be predicted from their large brain weights.

We then tested whether the regression lines of the relationship between year and first flowering date were the same between the two locations.

To quantify these topographic relations we fitted linear regression lines (solid) to each of the three datasets.

Shaded region is the 95 % confidence band of the linear regression line.

Solid (− / −) and dashed (+ / +) lines show the linear regression correlation between age and absolute number of cells.

Cognitive performance was then compared among high, low, and middle groups of cardiovascular fitness; interpreted as increased (i.e., the average deviation from the regression line was +2.5; SD, 0.4), decreased (average deviation, − 2.3; SD, 0.6), and approximately unchanged (average deviation, − 0.03; SD, 0.8) cardiovascular fitness, respectively.

To complete the task cards students will use knowledge of linear regressions (line of best fit, least squares regression), correlation coefficients, and calculating residuals and their meaning.

The regression analysis and line in Figure 1 are both weighted by the number of minority students in each county (using the average of 2002 - 03 and 2010 - 11)

Least squares regression is applied where exponent z is the gradient of the line (slope m) and the intercept of the line is the logarithm of c. Species Area relations were plotted and are shown in the results section.

The regression line through the scatter fits well and suggests that the charter school effect is not driven by a small number of risk sets.

This tip sheet provides a helpful tutorial for finding an equation of a curve given the points, calculating the equation of a line, finding the correlation coefficient and calculating the exponential regression.

Figure 2 illustrates the strong correlation between CORE's summary social - emotional learning measure (the average of the four scales) and English language arts (ELA) achievement, but also reveals ample dispersion of schools around the regression line.

Below is a regression of the data, showing the trend line.

It would have moved the optimum price down to about $ 2.50 but then the regression line would have actually nowhere near any of the points.

I used Excel's curve fitting capability to fit straight lines to the data and to report the equations (i.e., regression equations) and goodness of fit (R - squared).

From a reader, ptuomov: If you run a regression of the magenta line on variables that have similar trends, you will get a spuriously high R2.

If you run a regression of the magenta line on variables that have similar trends, you will get a spuriously high R2.

I used Excel's curve fitting capability to fit straight lines to the data and report the equations (i.e., regression equations) and goodness of fit (R - squared).

It's called a linear regression because you literally draw a straight line through a scatterplot of a manager's returns and the benchmark.

There is slightly more dispersion from the best fit line than we saw with Growth Fund of America, and there is positive alpha in this regression.

The goal of the linear regression is to get a line that best fits the data.

The blue and yellow dots on the regression lines correspond to the relative valuation of the value factor, equal to 0.13 in March 2016, comfortably in the bottom decile of historical relative valuation.

The linear regression line for the % of stocks oversold and average p / l % seem to be diverting.

The green line is a liner regression of the data.

The green line is a linear regression of the data.

This is a broad category of support and resistance identifiers that include trendlines, trend channel lines and regression lines.