UGC NET Questions (Paper – 1)

Statement A is correct because regression distinguishes a response (dependent) variable from an explanatory (independent) variable. Statement C is true as the least squares criterion minimises the sum of squared vertical residuals. Statement D is also correct since regression is widely used to predict and to analyse how variables relate. Statement B is false because the regression of Y on X is primarily used to predict Y for given X, not the other way around. Statement E is false because a horizontal line means Y is constant and does not change with X. Consequently, A, C and D only are correct.

Option A:
Option A is correct as it collects the essential properties of simple linear regression and excludes B and E.

Option B:
Option B is incorrect because it includes B (wrong predictive direction).

Option C:
Option C is wrong as it includes E (false).

Option D:
Option D is incorrect because it retains B (false) and omits A (dependent/independent distinction).