I think the pattern is that you multiply the first number by the second , then add the first number. SO:
e.g. for the first one 1 x 4 = 4 , 4 + 1 = 5
for the second one 2 x 5 = 10, 10 + 2 = 12...
So for 8+11:
you do 8 x 11 = 88 , 88 + 8 = 96
Answer:
0.6
Step-by-step explanation:
0.06 is one-tenth of the number that is 10 times bigger than 0.06.
0.06 * 10 = 0.6
0.06 is one-tenth of 0.6.
Answer:
Part A: 18x^2+63x+55, B: second degree trinomial, Part c: (3x+5) (6x+11) =18x^2+63x+55
Answer:
m=7/4
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.
