Answer:
The C=intercept of the regression line
Step-by-step explanation:
The slope of the regression line has a logical interpretation as the average rate of change in collar size for a 1cm increase in height.
A linear regression is represented as [tex]^\wedge y = mx + c[/tex]
The option that has no logical interpretation is: E The c-intercept of the regression line
From the question, we have:
[tex]^\wedge c = 94 + 0.9h[/tex]
Using the above representation of a regression line [tex]\wedge y = mx + c[/tex]
[tex]m \to[/tex] the slope
[tex]c \to[/tex] the y-intercept
By comparing [tex]\wedge y = mx + c[/tex] to [tex]^\wedge c = 94 + 0.9h[/tex]
[tex]0.9 \to[/tex] slope
[tex]94 \to[/tex] the y-intercept
While [tex]^ \wedge c[/tex] and [tex]h[/tex] are the variables (i.e. collar size and height)
From the list of given options (see attachment), the option that has no logical interpretation is:
E. The c-intercept of the regression line
This is because c does not represent the intercept of [tex]^\wedge c = 94 + 0.9h[/tex]
Read more about linear regression at:
https://brainly.com/question/18405415
