Which of the following is the equation of the least-squares regression line of John's beight on age? (NOTE: You do not need to directly calculate the least-squares regression line to answer this question.) A) Height 12 x (Age) B) Height Age/12 С) Нeight 60 - 0.22 х (Age) D) Height 22.3 0.34 x (Age) 7

(D) Height 22.3 + 0.34 x (Age)

Step-by-step explanation:

See the attached for the table.

Since per the question,we do not need to directly calculate the least-squares regression line to answer this question.

The equation of the least square regression line is of the form:

y =a+bx.

This narrows down the options to C and D. However, the range for Heights is between 34-45, therefore option C I.e. (Нeight 60-0.22хAge) with Height 60 is improbable.

step-by-step explanation:

to find if any function is an inverse of the other, put the first equation in as x in the next one. then simplify and solve. if at the end you get the statement y = x, then it is an inverse. if you get anything else, it is not.

i need points

step-by-step explanation:

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