Search Results for Regression Line

Fig. 4 Scatterplot and OLS regression line of country-specific gender role attitudes (horizontal axis) and country-specific effects of hypogamy compared with other educational pairings (vertical axis). Horizontal axis is percentage agreeing with the statement “Women should be prepared to cut More

Fig. 4 Country–cohort predicted sibling correlations (SC) and two measures of income inequality, with meta-regression lines and 95% confidence intervals. Each observation's bubble area is proportional to its weight in the meta-regression. More

in gray. Abbreviations and country names are listed in Table  1 . The slopes of the regression lines are 0.04 and –0.1, respectively. R 2 is .34 in both regressions More

for each state, and thus all observations for a state are on the same vertical line. The slope coefficient and standard error from the regression line are estimated with controls for year of birth. See the online data appendix for a discussion of authors’ calculations and sources used More

; on the y -axis is the percentage point change in the fraction of the population changing states in the previous year. The estimated equation for the regression line is at the bottom of the figure; standard errors are in parentheses More

of recently unemployed on each occupation index, we do not drop these “extreme” occupations. The slope of the regression line in the left panel is −0.067 (constant = 0.139), while the slope in the right panel is 0.026 (constant = 0.140). More

shows the relationship at the municipio level. The regression lines are based on the regression model in Eq. ( 2 ), with no controls. See Table 2 for alternative specifications More

the relationship at the municipio level. The regression lines are based on the regression model in Eq. ( 2 ), with no controls. See Table 3 for alternative specifications More

be interpreted as the mean monthly share of gross household income from each income source. Each line represents results from a separate regression. Line color and pattern distinguish between income sources, as indicated in the figure legends. Solid dots indicate statistically significant differences from More

percentage change in the given measure of household income adequacy, from the pre-pregnancy level (measured in the month one year before the birth month, or month –12). Each line represents results from a separate regression. Line color distinguishes between measures of household income adequacy More

the birth month, or month –12), and can be interpreted as the mean monthly share of each income source, relative to gross household income. Each line represents results from a separate regression. Line color and pattern distinguish between income sources, as indicated in the figure legends. Solid dots More

, or month –12), and can be interpreted as the mean monthly share of each income source, relative to gross household income. Each line represents results from a separate regression. Line color and pattern distinguish between income sources, as indicated in the figure legends. Solid dots indicate More