A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:

City Price ($) Sales

River Falls 1.30 100

Hudson 1.60 90

Ellsworth 1.80 90

Prescott 2.00 40

Rock Elm 2.40 38

Stillwater 2.90 32

1- Referring to the above listed table, what is the estimated slope parameter for the candy bar price and sales data?

A) 161.386

B) 0.784

C) -3.810

D) -48.193

2- Referring to the table in question 1, what is the estimated average change in the sales of the candy bar if price goes up by $1.00?

A) 161.386

B) 0.784

C) -3.810

D) -48.193

3- Referring to the table in question 1, what is the coefficient of correlation for these data?

A) -0.8854

B) -0.7839

C) 0.7839

D) 0.8854