Sentences with phrase «negative coefficient»

Ross: it's just occurred to me that the correct variable to drop is y (since p & m are closer to orthogonal than p & y), but it's y that has the inconvenient negative coefficient.

In none of the models across any of the three grades or four years is there a negative coefficient on Houghton Mifflin California Math as compared to the composite of the other three textbooks.

The 26 slide PowerPoint deals with: Parts of an expression Like and unlike terms A negative coefficient.

These are no frills differentiated worksheets on simultaneous equations containing the following: ★ Adding only where x or y have a positive coefficient of 1 ★ Subtracting only where x or y have a positive coefficient of 1 ★ Mix of adding or subtracting where x or y have a positive coefficient of 1 ★ Mix of adding or subtracting where x or y have a positive or negative coefficient of 1 ★ Adding and subtracting where either the x or the y will be a multiple of the other ★ Adding and subtracting where either the x or the y will be a multiple of the other including negative numbers ★ The coefficient of x and y are totally random.

The «presence of the consultant» results showed a negative coefficient indicating that women's preference was to have a consultant present in an emergency only, rather than have a consultant present at the birth.

Includes negative coefficients of x, x on both sides, expanding and simplifying before solving and very simple fractional equations The answers in each block are the same (e.g. all the question 1s have x = 2, all the question 2s have x - 5) which makes it easier to check as you go round the room.

We see moderately significant and negative coefficients for gold and somewhat weaker ones with silver and the mining stocks.

With nearly all variables I've ever used, including ice extent and temperatures, the lagged dependent variables have large negative coefficients, since changes one period tend to lead to «movement to the mean» in the next period.

For the AMO, the correlation coefficients are almost entirely negative over land, whereas the ocean correlation does exhibit negative coefficients» cluster in the Central Pacific flanked by positive correlation coefficients.

Not exact matches

Notice that the positive relationship between monetary growth and subsequent market returns (a coefficient about +0.4) is weaker than the negative relationship -LRB--0.6) that initiated the monetary easing in the first place.

The zero lag shows the «coincident» relationship between these two in data since 2006: a strong negative relationship, with a slope coefficient of nearly -0.6 (aggressive monetary easing has largely been a response to strong market losses over the overlapping period).

A correlation coefficient of 1 indicates perfect correlation, -1 means there is perfect negative correlation and 0 indicates no correlation.

Unlike reactors of the Chernobyl type, the VHTR has a negative temperature coefficient, meaning that as the core temperature rises, nuclear reactions inside naturally begin to slow down.

The negative side is that cepstral coefficients reflect the geometry of the human vocal tract, but we are not too different from one another, so the system tends to make false hits,» says Peter French from the University of York, president of the International Association for Forensic Phonetics and Acoustics (IAFPA) and director of J.P. French Associates, the main forensic phonetics company in the U.K. «I believe that automatic systems should be combined with human intervention,» French says.

Shown are correlation coefficient values of those voxels that had a significant negative association between IQ and normalized path length for T = 0.45 (linear regression, p < 0.05 uncorrected for multiple comparisons, df = 18, corrected for age).

Negative regression coefficients for neural response similarity indicate that greater neural response similarity was associated with decreased social distance.

Can be easily broken down into separate parts, which include accurate, concise and easy to understand full coverage of the following sub-topics: Absolute and Relative Poverty Distinction between Wealth and Income Causes of Inequality Inequality Metrics including the Lorenz Curve and how the GINI index (GINI coefficient) is derived GINI indices for major countries Kuznets Curve Government solutions including Negative Income Tax, welfare programmes and work incentives The «Trickle - down» Theory

We start with the type without constant term, moving onto monic quadratic expression where the coefficient of x squared is 1, then negative x squared coefficient, and finally common factor in the three terms.

• solve simultaneous equations where the coefficient of x OR y is a factor of the other x or y E.g. 4y + 7x = 117 2y + 2x = 40 There are 2 medium sheets — one with negative answers, one without • solve simultaneous equations where x and y are random integers or decimals E.g. 4y - 3x = 34.5 6y + 5x = 56.5 There are 2 hard sheets — one with negative answers, one without Features: - Print the questions off - Print the answers off - Refresh the questions so you get any entirely new set of questions and answers (unlimited questions!)

We find that the vast majority of coefficients across all grades and outcomes suggest a negative impact of the reform on students» behavior.

She used R (i.e., a free software environment for statistical computing and graphics) to simulate correlation scatterplots (see Figures below) to illustrate three unique situations: (1) a simulation where there are two indicators (e.g., teacher value - added and observational estimates plotted on the x and y axes) that have a correlation of r = 0.28 (the highest correlation coefficient at issue in the aforementioned post); (2) a simulation exploring the impact of negative bias and a moderate correlation on a group of teachers; and (3) another simulation with two indicators that have a non-linear relationship possibly induced or caused by bias.

Note the slight increase in pitch with the decimal number coefficient and the negative axes.

In a multiple regression using 1, 5, 10 and 20 - year Treasury yields, the coefficient for the 10 - year yield is negative and significant.

The stock with a beta coefficient larger than one (or negative one) is riskier because its price swings wider than the asset class does.

Correlation is computed into what is known as the correlation coefficient, which ranges between -1 (perfect negative correlation) and +1 (perfect positive correlation).

Small - Cap Coefficient XDV, XCV, and CRQ all have slightly negative small - cap coefficients (most likely indicating a slight tilt towards larger companies).

(Remember, in the three value funds we considered above, the size coefficients were negative.)

On the other hand, the fund's size coefficient is significantly negative.

If the correlation coefficient ρ is negative, the volatility and the price of ILETF tend to increase simultaneously.

For example, if you took just three years worth of correlation coefficients between large - cap growth and real estate, you'd see a huge negative correlation in the first five years of the 21st century.

In the right panel, the NAO pattern is illustrated based on a reference point of 65 ° N, 30 ° W. Negative correlation coefficients are dashed, and the contour increment is 0.2.

Normally, it is a very controlled process defendant on specific feedbacks, such as a negative moderator temperature coefficient.

At higher power levels, the moderator temperature coefficient was only mildly negative, and, thus, was not able to turn the significant power rise resulting from the temperature spike at the time of incident initiation.

For real - valued data, the coefficients are complex conjugates at corresponding positive and negative frequencies; for complex - valued data they are distinct there.

Now regress each group on the time base (decimal year) and you will find that they both have totally non-significant coefficients (both marginally negative as it happens), but that the means of the two groups are separated by about 210000 square kilometers.

• The huge negative values of coefficients of efficiency at those scales show that model predictions are much poorer that an elementary prediction based on the time average.

Oh dear, the coefficient for Tmin on d [CO2] / dt is negative!

Whereas, the negative correlation coefficients between the AMO and mid-level cloud cover (Fig. 4) all but covers the entire map.

For SSN, there are marked positive correlation coefficients over the tropics and the United States Gulf Coast and Eastern Seaboard with negative correlation coefficients over much of Canada, Greenland, and the North Central Pacific.

However, the AMO exhibits the highest magnitude correlations for all subdomains of mid-level cloud cover having negative correlation coefficients of − 0.223, − 0.205, and − 0.218 for ocean, land, and entire domain respectively.

For NM1, there exists an almost reciprocal pattern: negative correlation coefficients near the South US and Atlantic Seaboard, with positive correlation coefficients in Canada.

The AMO additionally exhibits a negative correlation coefficient with the NAO and the PDO at − 0.247, and − 0.221, respectively.

The AMO exhibits positive correlation coefficients with GCR NM1 and NM2 at 0.239 and 0.206, respectively; and negative correlation coefficients between with SSN and FX at − 0.190, and − 0.170, respectively.

Interestingly, the PDO displays a negative correlation coefficient with FX at − 0.144, but not significant with SSN, NM1 or NM2.

The NAO displays positive correlation coefficients with SSN and FX at 0.135, and 0.148 respectively; and negative correlation coefficients between NM1 and NM2 at − 0.182 and − 0.179, respectively.

Our econometric results find some negative impacts of climate change on the household fisheries production, though estimated coefficients are not statistically significant.Climate change therefore does not have any impact on the fisheries and aquaculture sector at the household level at least in the short run.

Wonderful, R2 soars to 0.32, and with the coefficient at MINUS 6.96 and t = MINUS 4.76 and p = 2.23E - 05 we have superb statistical significance of the result that Net Forcing has a powerful effect on temperature change, it's just too bad that it is actually NEGATIVE.

The internal consistency of Italian PANAS, using the Cronbach's alpha coefficient, was satisfactory for positive affect scale (α = 0.74) and negative affect scale (α = 0.79).

All the coefficients have the negative sign and are statistically significant at the 5 per cent level, indicating that the weighted level curves of satisfaction over time have the shape of the right branch of a hyperbola.

Many of the scales demonstrated weak psychometrics in at least one of the following ways: (a) lack of psychometric data [i.e., reliability and / or validity; e.g., HFQ, MASC, PBS, Social Adjustment Scale - Self - Report (SAS - SR) and all perceived self - esteem and self - concept scales], (b) items that fall on more than one subscale (e.g., CBCL - 1991 version), (c) low alpha coefficients (e.g., below.60) for some subscales, which calls into question the utility of using these subscales in research and clinical work (e.g., HFQ, MMPI - A, CBCL - 1991 version, BASC, PSPCSAYC), (d) high correlations between subscales (e.g., PANAS - C), (e) lack of clarity regarding clinically - relevant cut - off scores, yielding high false positive and false negative rates (e.g., CES - D, CDI) and an inability to distinguish between minor (i.e., subclinical) and major (i.e., clinical) «cases» of a disorder (e.g., depression; CDI, BDI), (f) lack of correspondence between items and DSM criteria (e.g., CBCL - 1991 version, CDI, BDI, CES - D, (g) a factor structure that lacks clarity across studies (e.g., PSPCSAYC, CASI; although the factor structure is often difficult to assess in studies of pediatric populations, given the small sample sizes), (h) low inter-rater reliability for interview and observational methods (e.g., CGAS), (i) low correlations between respondents such as child, parent, teacher [e.g., BASC, PSPCSAYC, CSI, FSSC - R, SCARED, Connors Ratings Scales - Revised (CRS - R)-RSB-, (j) the inclusion of somatic or physical symptom items on mental health subscales (e.g., CBCL), which is a problem when conducting studies of children with pediatric physical conditions because physical symptoms may be a feature of the condition rather than an indicator of a mental health problem, (k) high correlations with measures of social desirability, which is particularly problematic for the self - related rating scales and for child - report scales more generally, and (l) content validity problems (e.g., the RCMAS is a measure of anxiety, but contains items that tap mood, attention, peer interactions, and impulsivity).