The table shows weight (X) and price of turkeys (Y) at different supermarkets.
StatCrunch data link
Weight (lb) Price ($)
12.3 17.1
18.5 23.9
20.1 26.7
16.7 19.9
15.6 23.2
10.2 9.1
1. Construct scatter plot and comment on the trend (positive linear, negative linear or non-linear)
2. The correlation coefficient is (round to 1 decimal)
3. The equation of regression line is (round to 2 decimals, avoid spaces)
Price =
4. Estimate the price of turkey weighing 14 pounds (round to 2 decimals).
5. Interpret slope: For every 1 pound increase in weight of turkey, the price (increases or decreases) by dollars.
6. Find confidence interval for slope. We are 95% confident that the slope of the regression line for population data is between (round to 2 decimals) and .
7. Interpret confidence interval: If we consider association between weight and price for all turkeys, then for every 1 pound increase in weight of turkey, the price is expected to increase somewhere between $ and $ .