this question is incomplete, the complete question is:
1. is this model effective
2. what is the correlation coefficient for this data.
3. for a student with a bmi of 25, what is the predicted number of hours under the influence.
Step-by-step explanation:
1. first of all this model is not effective because we have r² as 0.134. this tells us that only 13.4 percent of the of the variations that exist in this data has been explained by the model
1. we get the correlation coefficient by

the regression slope coefficient has a negative sign. this is what we would use in calculating the correlation coefficient.

= -√0.134
= -0.366
therefore the correlation coefficient is -0.366
2. to get the number of hours under the influence with a bmi of 25
the equation is
49.2-1.15bmi
= 49.2-1.15(25)
= 49.2-28.75
= 20.45
Answer: (14.4 x 8)-4
Step-by-step explanation:
add 2.8 and 11.6 and multiply 8 your answer will be 115.2 but when you subtract it with the four you will get the same thing when you calculate the regular problem.I hope this help
4x + 3x = 28
7x = 28
7x/7 = 28/7
X = 4
Girls = 4
4x4 = 16
16 girls