Answer:
Check photo.
Step-by-step explanation:
Answer: There is a strong positive correlation between number of games won by a minor league baseball team and the average attendance at their home games is analyzed.
Step-by-step explanation:
The Pearson's coefficient 'r' gives the correlation between the predicted values and the observed values .
- It tells the direction and the strength of the relation.
- When r is negative it means there is a negative relationship between the variables .
- When r is positive it means there is a positive relationship between the variables .
- When |r|=1 , strong correlation ,
- When r=0 , there is no correlation.
- If 0.70<|r|<1 , there is a strong correlation.
- If 0.50<|r|<0.70 , there is a moderate correlation.
- If 0.30<|r|<0.50 , there is a low correlation.
Given : A regression to predict the average attendance from the number of games won has an r = 0.73.
Since r=0.73 is positive and 0.70 <0.73 <1 , it means there is a strong positive correlation between number of games won by a minor league baseball team and the average attendance at their home games is analyzed.
Answer:
Step-by-step explanation:
Simple interest rate = 1000(1+11x4) = 4500
= 4500-1000=3500
Comppound interest rate = 100%+10%=110%/100%=1.1%
1000X(1.1)^4=1464.10
