An analyst considers standardized values of observations on three variables, consumption (C), saving (S) and total income (TI) so that they have zero means and unit variances. She further considers disposable income (DI) where DI = C + S. In the simple linear regressions of DI on TI, DI on C and S on TI, the regression coefficients are 0.8, 0.5 and 0.4, respectively. There are 21 sample observations. Sample covariances and variances are calculated with divisor 20. Then, the value of sum of squared residuals in the regression of DI on S is
Part BCSIR NET June 2024standardized-slope-is-the-covariance
Standardized slope is the covariance
Related counterexample: OLS is the BLUE in every linear model
- weighted least squaresJune 2023
- adjusted r squaredDecember 2023
- estimability in anovaDecember 2023
- central vs noncentralDecember 2023
- projection shrinks variance and creates covarianceDecember 2024
- a saturated model leaves no choice of estimatorDecember 2024
The chapter behind this: Linear models, Gauss–Markov and ANOVA — free to read
From Linear Models and Multivariate › Gauss–Markov, regression, ANOVA basics