A candy bar manufacturer is interested in trying to estimate how sales are inuenced 5 by the price of their product. To do this, the company randomly choose: 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 by applying die Ordinary Least Squang (0L5) melhod on the data below: If the price of the candy bar Is set at $2.00, calculate the predicted sales. 52in iil M A. 30 River Falls 100 1.30 B. 65 Hudson 90 1.60 c_ 90 Ellmon'h 90 1.30 D. 100 Prescott 40 2.00 Rock Elm 38 2.40 Stillwater 32 2.90 What is the estimated slope for the candy bar price and sales data? A. 48.193 B. -3.310 C. 0.784 D. 1.831 2 What is the estimated yintercept for the candy bar price and sales data? A. 61.338 B. 63.432 C. 72.620 D. 161.386