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:i think
Step-by-step explanation:
1(9x+2)=4+2(6x+4)33
=9 x (396 x + 268) + 2 (396 x + 268)
=9 * 396 x x+2 * 396 x+9 * 268 x+2 * 268
=3564 x^2 + 3204 x + 536
(x^2+2)(x+8) (or) (x^3+5)(x+6) (or) (x+2)(x+8)(x+6)
You just ask questions that you need help with
Answer:
x= 33/7 or 4.7
Step-by-step explanation:
