[{"id":4598,"question":"Regression line x on y is","choices":[{"text":"","img":"4598_6-a.jpg","value":"A"},{"text":"","img":"4598_6-b.jpg","value":"B"},{"text":"","img":"4598_6-c.jpg","value":"C"},{"text":"","img":"4598_6-d.jpg","value":"D"},{"value":"E"}],"correctAnswer":2},{"id":4517,"question":"If X and Y are independent, then Cov(x,y) = 0 which implies that","choices":[{"text":"b<sub>yx</sub> = 0","value":"A"},{"text":"b<sub>xy</sub> = 0","value":"B"},{"text":"ρ = 0","value":"C"},{"text":"a = 0","value":"D"},{"value":"E"}],"correctAnswer":3},{"id":4515,"question":"r<sub>xy</sub> -------------- r<sub>yx</sub>","choices":[{"text":"=","value":"A"},{"text":"&lt;","value":"B"},{"text":"&gt;","value":"C"},{"text":"≠","value":"D"},{"value":"E"}],"correctAnswer":1},{"id":4514,"question":"If constants are added to or subtracted from the values of the variables, the value of r&nbsp;","choices":[{"text":"is negative","value":"A"},{"text":"is positive","value":"B"},{"text":"is zero","value":"C"},{"text":"remains unchanged","value":"D"},{"value":"E"}],"correctAnswer":4},{"id":4512,"question":"The measures of strength of closeness of linear relationship between two variables is called","choices":[{"text":"simple linear regression","value":"A"},{"text":"composite linear regression","value":"B"},{"text":"simple linear correlation","value":"C"},{"text":"composite linear correlation","value":"D"},{"value":"E"}],"correctAnswer":3},{"id":4509,"question":"If r = -1, then there is","choices":[{"text":"negative correlation","value":"A"},{"text":"perfect negative correlation","value":"B"},{"text":"no correlation","value":"C"},{"text":"average correlation","value":"D"},{"value":"E"}],"correctAnswer":2},{"id":4507,"question":"If b<sub>yx</sub> = 0.89 and b<sub>xy</sub> = 0.75, then r=","choices":[{"text":"0.89","value":"A"},{"text":"0.28","value":"B"},{"text":"0.98","value":"C"},{"text":"0.82","value":"D"},{"value":"E"}],"correctAnswer":4},{"id":4505,"question":"r is the ------------ of two regression co-efficient b<sub>yx</sub> and b<sub>xy</sub>","choices":[{"text":"arithmetic mean","value":"A"},{"text":"geometric mean","value":"B"},{"text":"harmonic mean","value":"C"},{"text":"median","value":"D"},{"value":"E"}],"correctAnswer":2},{"id":4502,"question":"The estimates of the parameters=α and=β are","choices":[{"text":"μ and=σ2","value":"A"},{"text":"a and b","value":"B"},{"text":"μ andπ","value":"C"},{"text":"χ2 and Z","value":"D"},{"value":"E"}],"correctAnswer":2},{"id":4500,"question":"A set of points in a rectangular coordinate system, where each point represents an observed pair of values is called","choices":[{"text":"least square regression","value":"A"},{"text":"scatter diagram","value":"B"},{"text":"pie graph","value":"C"},{"text":"regression coefficient","value":"D"},{"value":"E"}],"correctAnswer":2},{"id":4499,"question":"The variable that forms the basis of estimation is called","choices":[{"text":"regression","value":"A"},{"text":"regressand","value":"B"},{"text":"regressor","value":"C"},{"text":"correlation","value":"D"},{"value":"E"}],"correctAnswer":3},{"id":4498,"question":"The relationship that describes the dependence of the expected value of the dependent random variable for a given value of the independent non-random variable is called","choices":[{"text":"equation","value":"A"},{"text":"relation","value":"B"},{"text":"ratio","value":"C"},{"text":"regression","value":"D"},{"value":"E"}],"correctAnswer":4}]