A car travels 228 km in 3 hours.
1 answer:
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Answer: 0.79 or 79%
Step-by-step explanation:
Given : The probability that the athletes are football players : P(A)=0.33
The probability that the athletes are basketball players: P(B)=0.66
The probability that the athletes play both football and basketball : P(A∩B)=0.20
Now, the probability that the athlete is either a football player or a basketball player is given by :-
Hence, the probability that the athlete is either a football player or a basketball player = 0.79
Or we can write it as 79%.
The best answer from the options that proves that the residual plot shows that the line of best fit is appropriate for the data is: ( Statement 1 ) Yes, because the points have no clear pattern
X Given Predicted Residual value
1 3.5 4.06 -0.56
2 2.3 2.09 0.21
3 1.1 0.12 0.98
4 2.2 -1.85 4.05
5 -4.1 -3.82 -0.28
The residual value is calculated as follows using this formula: ( Given - predicted )
1) ( 3.5 - 4.06 ) = -0.56
2) ( 2.3 - 2.09 ) = 0.21
3) ( 1.1 - 0.12 ) = 0.98
4) (2.2 - (-1.85) = 4.05
5) ( -4.1 - (-3.82) = -0.28
Residual values are the difference between the given values and the predicted values in a given data set and the residual plot is used to represent these values .
attached below is the residual plot of the data set
hence we can conclude from the residual plot attached below that the line of best fit is appropriate for the data because the points have no clear pattern ( i.e. scattered )
learn more about residual plots : brainly.com/question/16821224
