1. if P(A)=0.4P(A)=0.4, P(B)=0.55P(B)=0.55 and
P(A∩B)=0.15P(A∩B)=0.15, calculate
1. P(Ac)P(Ac) :
0.6
0.8
0.55
0.45
2. P(A∩B)cP(A∩B)c
0.95
0.85
0.75
0.45
3. P(B/A)P(B/A)
0.57
0.38
0.75
0.45
4. P(A∪B)P(A∪B)
0.9
0.5
0.8
0.7
5. P(Ac∪B)P(Ac∪B)
0.95
0.55
0.85
0.75
2.The regression model Y = 1.78 + 0.56X has been estimated.
Where (Y) is the level of consumption and (X) the income of the
inhabitants of a city.
1. What consumption is predicted for someone who earns $
37,000?
22.5
16.9
28.4
15.2
2. If the coefficient of determination of the problem is 0.74.
The interpretation of this value is:
26% of income (X) is explained by consumption (Y)
26% of consumption (Y) is explained by income (X)
74% of income (X) is explained by consumption (Y)
74% of consumption (Y) is explained by income (X)