Sentences with phrase «simple regression»

"Simple regression" refers to a statistical process used to understand and predict the relationship between two variables. It involves finding a straight line that best fits the data and allows us to estimate how changes in one variable can affect the other. Full definition
Step 1 and step 2 use simple regression analysis, whereas step 3 uses multiple regression analysis.
Simple regression analyses were used to examine the association between psychological distress, and demographic and disease variables.
In step 1, age, sex, and variables that were shown to be statistically significant in simple regression analyses were simultaneously entered into the model as potential confounders.
Figure 0003 provides simple regression lines of ICPs» relationship quality as a function of partners» helping motivation at high (+1 SD) and low levels (− 1SD) of ICPs» reported pain intensity.
In contrast, we show that simple regression methods used by several existing papers generally exaggerate positive feedbacks and even show positive feedbacks when actual feedbacks are negative.
Summary of regression analyses with BMI Z score and sum of skinfolds as dependent variables showing regression coefficients (95 % CI) from simple regression analysis and multiple regression after backward elimination of nonsignificant variables
The best of this work has taken advantage of the lottery - based admissions processes used by many school - choice programs, enabling researchers to draw far stronger conclusions about how schools affect student outcomes than the methods Coleman employed, which relied on simple regression techniques to adjust for differences in students» family background.
In simple regression analyses examining the association between psychological distress, and demographic and disease variables, only the recipient of the questionnaire was statistically significant (B = 3.13, p = 0.03); partner recipient was significantly associated with higher psychological distress than patient recipient.
And I do kind of a simple regression with number of transactions and velocity.
Using some simple regression analysis, she found an R - square of 0.0002.
Of course Eichengreen knows far more about the gold standard than most economists, and is far from being its harshest critic, so he'd undoubtedly be an outlier in the simple regression, y = α + β (x)(where y is vehemence of criticism of the gold standard and x is ignorance of the subject).
I ran a simple regression to see how these players» college stats might translate to the pros.
A simple regression of the average grades citizens assign to local schools in each state on NAEP and state proficiency rates simultaneously confirms that average grades (1) are strongly correlated with NAEP proficiency rates and (2) after controlling for NAEP proficiency rates, have no relationship whatsoever with proficiency rates on state tests.
My simple regression - based statistical climate model predicts global carbon dioxide, surface temperature & sea level at yearly time steps.
A simple regression on both datasets yields a p - value < 0.0005 over time, indicating that global temperatures are increasing with respect to time.
These simple regression models are not valid for complex systems — such as ENSO or indeed climate as a whole.
Tivy (University of Alaska Fairbanks); 5.7 Million Square Kilometers; Statistical This method is based on a simple regression where the predictor is the previous summer (May / June / July) sea surface temperature (SST) in the North Atlantic and North Pacific oceans near the marginal ice zone.
In the pre-season outlook submitted by Tivy, a simple regression model is used to predict the September sea ice area in the Canadian Arctic Archipelago (Figure 8).
The predicted September sea ice area in the East Siberian and Laptev Seas, from a simple regression model using summer (Aug - Sep - Oct) sea surface temperatures in the North Atlantic as the predictor, is below normal but greater than in 2009.
The method is based on a simple regression where the predictor is the previous summer (May / June / July) sea surface temperature (SST) in the North Atlantic and North Pacific oceans near the marginal ice zone.
The final argument of [Shaviv and Veizer, 2003]-- that CO2 has a smaller effect on climate than previously thought — is based on a simple regression analysis of smoothed temperature and CO2 reconstructions.
Irrespective of the data quality, the simple regression method of [Shaviv and Veizer, 2003] is unsuitable to estimate the climate sensitivity to a CO2 doubling.
If you do a simple regression analysis of life expectancy and PM - 10 concentrations there is a statistically significant relationship at the 95.0 % confidence level that indicates that there is indeed a negative relationship although it is relatively weak.
If you have carried out a simple regression of raw recorded total areas on «Decimal Year» for the whole period you will have produced a non-significant positive coefficient.
After detrending the proportions using a simple regression on year, the ACF shows no correlations are significantly different from zero.
Simple and complex designs, normal distribution, z - test, t - test, analysis of variance, statistical power, simple regression.
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