Sample Regression Set 1

In regression analysis the dependent variable is also called:

Consumption expenditure depending on household income is an example where:

The simplest form of regression equation representing a straight line relationship is termed:

Scatter diagram is used in regression to identify:

When Y depends on X the regression line is termed:

Regression towards the mean phenomenon was first observed in the relationship between:

In the deterministic linear model Yi = a + bXi:

The stochastic regression model includes:

In regression the error term ei represents:

The line of best fit in regression is obtained by:

The criterion that considers only magnitude of errors (ignoring sign) is:

Least squares method is preferred because it is:

In least squares the error ei is defined as:

The normal equations of least squares are obtained by:

The first normal equation ?Yi = na + b?Xi implies:

The second normal equation ?XiYi = a?Xi + b?Xi² is obtained by:

Parameters a (intercept) and b (slope) in regression are estimated using:

In Y on X regression if b > 0 the relationship is:

Multiple regression extends simple regression to cases with:

The term ‘regression’ originates from the phenomenon where extreme values tend to: