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The Concept Map you are trying to access has information related to:
multiple regression - interpretation of relationships, multiple regression - interpretation of relationships (coefficients), role of individual predictor varialbes , r, compare ivs of differnent scales , the amount of change in teh dv associated with a 1 unit change in taht iv, with all other variables held constant , income in thousands, standard deviation of 1, beta reflects not only the presumed effect of the vairable with which it is associated but also the variances and covariances of the variable sincluded in teh model , as well as eth vairacne of the variables not included in teh model and subsumed under teh error term, describe relationship between 1 iv and 1 dv, bivariate correlation, beta is sample-specific and can therefore nto be used for the purpose of generiazations across settings adn populations , use betas when asessing effects of different variable swithin a singel regression equation or population, unsuitable for measuring the importance of a predictor variable within an equation , mean of zero, standarddized regression coeficeitnts (beta) , values of regression coefficients change as a functio of the otehr variable sin the equation, -.2, -.3 .1 .4 , making predictions , assesing fit , describe erlationship between 2 iv and i dv, total variance explained, r^2, scale dependent, chance corerlation is captured, multicolinearity, multiple coeficient of determination (r^2), remains fairly stable in dfferent settingss or populations, 1, r, .7 ? , 1 to -1, shared variance by 2 i ivs is thrown out, chance bivariate correlation is captured in squared, amoutn of variance in teh dv y taht is explaiend by teh iv x (shared variance) , always positive , use when teh purpose is to compare populations, when ivs rely on different measureemnt sacels, beta weightsts ares used to compare the inviddividual pre preditor variables within the equation, coefficients that describethe overall regression equation, unstandardized regression coefficients (b), standardized the scales , 1 to 10 scale, age in years, adjusted r^2