A regression analysis between sales (in $1000s) and price (in dollars) resulted in the following equation: ŷ = 50,000 − 8x The above equation implies that an increase of _____. a. $8 in price is associated with an increase of $8,000 in sales b. $1 in price is associated with a decrease of $8,000 in sales c. $1 in price is associated with a decrease of $42,000 in sales d. $1 in price is associated with a decrease of $8 in sales

Respuesta :

Answer:

b. $1 in price is associated with a decrease of $8,000 in sales

Step-by-step explanation:

Linear function:

A linear function has the following format:

[tex]y = mx + b[/tex]

In which m is the slope, which represents by how much y changes when x changes by 1.

ŷ = 50,000 − 8x

This means that [tex]m = -8[/tex], in thousands of dollars, so when the price x increases by 1, the sales will be decrease by $8,000, and thus, the correct answer is given by option b.

The equation implies that an increase (b) $1 in price is associated with a decrease of $8,000 in sales

The regression equation is given as:

[tex]\^y= 50000 - 8\^x[/tex]

A linear regression equation is represented as:

[tex]\^y= b_o+ b_1\^x[/tex]

Where:

b1 represents the slope or the unit rate of the equation

By comparison:

[tex]b_1 =-8[/tex]

Because the value of b1 is negative;

Then it means that, the unit rate represents a decrement

Hence, the equation implies that (b) $1 in price is associated with a decrease of $8,000 in sales

Read more about regression equations at:

https://brainly.com/question/25987747