1. In the general linear equation, Y = a + bX, what is the value of a called?

the y-intercept

delta

the slope

regression coefficient

2. What distinguishes bivariate regression from multivariate regression?

The number of dependent variables included in the analysis

The number of lines of best fit included in the analysis

The number of independent variables included in the analysis

The number of exogenous variables included in the analysis

Which of the following statements is not correct? Multivariate analysis in critical applications of three comesfromroles. log in Once a researcher known the land intercept, he or she can the onelesson equal wellpute predicted value for the dependent variable on the basis in my value of the independent variable. botsour ed Hiw world , yaw islime a multivariate regression analysis the intercept represents the white off when the rule dependent variable of interest and all other independent variables are equal to 0. ) In most social research there will be no difference between the festints of bivariate but multivariate analyses. wol s ni blueon Hiw bus gnitsQuestion 5 Consider the multivariate model: y = Bo + 8101 + 822 + u. If @1 and *2 are highly correlated, then the model may suffer from endogeneity O failure of the Gauss-Markov assumptions O multicollinearity O heteroskedasticityQUESTION 1 What's the consequence of the homoskedasticity assumption? '7" heteroskedasticity T" It makes OLS the best estimator f'x ' . " There is no answer '' Unbiasedness QUESTION 2 What's the meaning of heteroskedasticity? {HR ' - " That it has the least variance f\"\"\\ ' . " That it has a multivariate regressors _/\"\\ ' The variance of the error term is a function of one of the regresscrs ~ ' The error term of the regression model has a constant variance