A regression analysis between weight (y in pounds) and height (x in inches) resulted in the following least squares line: y^i = 120 + 5x. This implies that If the height is increased by 1 inch, the weight, on average, is expected to: a. increase by 1 pound. b. decrease by 1 pound. c. increase by 5 pounds. d. increase by 24 pounds.

Respuesta :

Answer:

Option (c) increase by 5 pounds

Step-by-step explanation:

Data provided in the question:

The regression analysis between weight (y in pounds) and height (x in inches)

β‡’ y = 120 + 5x

now,

on differentiating the above equation, we get

dy = 0 + 5dx

here,

dy is the change in weight

dx is the change in height

thus,

for, increase in height of 1 inch i.e dx = 1

we get

dy = 5(1)

or

dy = 5 pounds

here, positive value means increase in weight

therefore,

the correct answer is option (c) increase by 5 pounds

If the height is increased by 1 inch, the weight, on average, is increased by 5 pounds.

Thus, the correct option is c.

Given

A regression analysis between weight (y in pounds) and height (x in inches) resulted in the following least-squares line: y = 120 + 5x.

This implies that If the height is increased by 1 inch, the weight, on average, is expected to;

What is differentiation?

The instantaneous rate of change in function is based on one of its variables.

The given equation is;

y = 120 + 5x

On differentiating the above equation with respect to x

[tex]\rm y = 120 + 5x\\\\\dfrac{dy}{dx}=0+5\\\\\dfrac{dy}{dx}=5[/tex]

Hence, If the height is increased by 1 inch, the weight, on average, is increased by 5 pounds.

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