Oscar played games vs number of points he scored is, C) positive, linear association.
Step-by-step explanation:
- no association is when points Oscar graph will remain between 8to10.
- number of games he scored his points remain the same which is mean.
- non linear is only when there is no straight line passing.
- Linear is either exponential or polynomial.
- Positive as the game increase he scoring abilities increases.
- Negative as the game increases his scoring decreases.
- Negative x axis will have more number of points.
- Negative y axis will high to low of the graph.
- Linear lines are best way to predict a data doesn't work will all data.
Answer:
Step-by-step explanation:
answer is c
Answer:
-8
Step-by-step explanation:
19 take away 27
27-19=8
inverse would be -8
Answer:
Answer is to increase trials
Step-by-step explanation:
Theoretical Probability is what it is expected to happen whereas Experimental Probability is what actually happens.
What Jamie should take into serious consideration is that <em>Experimental probability gets gradually closer to theoretical probability as the number of trials increases</em>.
In other words, Jamie needs to increase the number of trials in order to match experimental and theoretical probabilities every time more and more.
