1. sean has 1 ⅛ sugar pies and 2 ²⁄₆ blueberry pies
2 answers:
You might be interested in
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
The line y=1 is the horizontal line passing through the point (0, 1). We have drawn it with red.
The reflection across this line of each point X, Y, and Z is such that the distance of each X, Y, and Z is equal to the distance of each X', Y', and Z', respectively, to the red line.
According to our drawing, we see that the coordinates of X' are (3, 3).
Answer: a.
The reflection across this line of each point X, Y, and Z is such that the distance of each X, Y, and Z is equal to the distance of each X', Y', and Z', respectively, to the red line.
According to our drawing, we see that the coordinates of X' are (3, 3).
Answer: a.