( a )
Let x = Fertilizer used , y = yield of corn
Find X⋅Y , X2 and Y2 as it was done in the table below.
X | Y | X⋅Y | X⋅X | Y⋅Y |
120 | 142 | 17040 | 14400 | 20164 |
80 | 112 | 8960 | 6400 | 12544 |
100 | 132 | 13200 | 10000 | 17424 |
70 | 96 | 6720 | 4900 | 9216 |
88 | 119 | 10472 | 7744 | 14161 |
75 | 104 | 7800 | 5625 | 10816 |
110 | 136 | 14960 | 12100 | 18496 |
There is strong positive correlation between the measured variables
II)
( iii )
so regression equation from the above graph is
y = 0.9027x + 37.22
given x = 105
then
y = 0.9027 ( 105 ) + 37.22
y = 132.0035 ~ 132
y =132
( b )
Null hypothesis ( H0 ) : The proportion does not differ from those reported in the survey
Alternative hypothesis ( H1 ) : The proportion differ from those reported in the survey
The following table is obtained:
Categories | Observed | Expected | (fo-fe)2/fe |
Category 1 | 40 | 120*0.35=42 | (40-42)2/42 = 0.095 |
Category 2 | 60 | 120*0.52=62.4 | (60-62.4)2/62.4 = 0.092 |
Category 3 | 20 | 120*0.13=15.6 | (20-15.6)2/15.6 = 1.241 |
Sum = | 120 | 120 | 1.429 |
( 5 ) Conclusion : At alpha = 0.01 L.O.S there is no sufficient evidence to conclude that the proportion differ from those reported in the survey
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