Answer:
x =-11
Step-by-step explanation:
5 +x -2 = -8
3 +x = - 8
x = -3 - 8
x= -11
Answer:
Kindly check explanation
Step-by-step explanation:
Given that :
Correlation Coefficient (r) = 0.989
alph=0.05
Number of observations (n) = 8
determine if there is a linear correlation between chest size and weight.
Yes, there exists a linear relationship between chest size and weight as the value of the correlation Coefficient exceeds the critical value.
What proportion of the variation in weight can be explained by the linear relationship between weight and chest size?
To determine the the proportion of variation in weight that can be explained by the linear regression line between weight and chest size, we need to obtain the Coefficient of determination(r^2) of the model.
r^2 = square of the correlation Coefficient
r^2 = 0.989^2 = 0.978121
Hence, about 0.978 (97.8%) of the variation in weight can be explained by the linear relationship between weight and chest size.
Answer:
2
Step-by-step explanation:
The shape expanded in size by a factor of 2. So the dilation scale factor is 2
Answer: she will buy 60 but if she add up all the water bottles togeather it will be 126 but the answer is 60
Step-by-step explanation: so first you have to make 5 boxes on a pice of paper and put 12 lines in each box and you count all the lines in the boxes togeather and they will equal 60 water bottles so the answer is 60
Answer:
40 14/25 years
Step-by-step explanation:
Well, this certainly is fun.
First, to find the fraction of the doctor's life which 13 years represents, subtract the fractions from 1 (and in this case l stands for lifetime):
So, multiply this equation by the reciprocal of 25/78 to isolate one of l:
years