- M 1 Tit Way Www The X R Y Yield 31 12 30 28 42 14 35 31 45 29 49 39 55 15 35 63 27 59 Q1 Use Ordinary Least Squa 1 (10.47 KiB) Viewed 112 times
- M 1 Tit Way Www The X R Y Yield 31 12 30 28 42 14 35 31 45 29 49 39 55 15 35 63 27 59 Q1 Use Ordinary Least Squa 2 (23.44 KiB) Viewed 112 times
- M 1 Tit Way Www The X R Y Yield 31 12 30 28 42 14 35 31 45 29 49 39 55 15 35 63 27 59 Q1 Use Ordinary Least Squa 3 (23.44 KiB) Viewed 112 times
- M 1 Tit Way Www The X R Y Yield 31 12 30 28 42 14 35 31 45 29 49 39 55 15 35 63 27 59 Q1 Use Ordinary Least Squa 4 (8.26 KiB) Viewed 112 times
X(R) Y (Yield 31 12 30 28 42 14 35 31 45 29 49 39 55 15 35 63 27 59 Q1 - Use ordinary least square method to derive a simple linear regression equation A) Y - 3.038 -0.127% BYY - 38.038.0.127X C)Y-0.127-30.028 DX - 30028 +0.1271 Answer Q Interpret the meeting of the slope coefficient A) The slope coefficient shows that for unit increase in the rainfall will decome the yield by the value of the stope coefficient B) The slope coefficient indicates that there is no linear relationship between the variables The slope coefficient allows that for unit kerese in the rainfall will result to increase in the yield by the value of the slope coefficient D) The slope coefficient indicates that there is a moderate linea relationship between the variables Answer Q) The Dubin-Witnici A) 0494 B) 2.100 C) 0.127 D) 2.0 Awer Q4 What are the critical value for this rest(0.05) A) 0.724 and 132 1) C2221 D) 0.879 od 1.320
Qs What conclusion can you reach about the autocorrelation of the errors? a) There appears to be a negative autocorrelation b) There appears to be a positive autocorrelation c) There does not appear to be an autocorrelation d) The test is inconclusive Answer