You have been hired by Haagen-Dazs as their new senior VP for strategy, You have noticed that " brick and mortar sales of ice-cream are growing. You are interested in opening more stores, You have a hunch that locations with warmer weather tend to sell more ice cream, You called your data team and they send you a random sample of daily sales for 500 locations, You match the sales to the ambient temperature that day and run a regression of sales on temperature, The output is below, Sales are in dollars per day. Temperature is in degrees Celsius, since, Fahrenheit is a ridiculous scale. . regress revenue temperature Source SS df MS Number of obs S 500 F(1, 498) 24942,73 Model 15641098.4 1 15641098.4 Prob > F 0.0606 Residual 311548,163 498 625.598722 R-squared 6.9797 Adj R-squared 0.9797 Total 15352646.6 499 39766.8268 Root MSE 25,012 revenue Coefficient Std. err. Px /11 [95% conf, interval] temperature 21.44363 Stain 1 155,06 Cons 44. 83127 3.271757 Stain 2 38,49312 51.25941 1. You were eating ice cream and spilled some of your finest chocolate melt onto the regression output, What value is hidden under Stain 1? 2. What is hidden under Stain 2? 3. What is the 95% confidence interval for the slope coefficient in words? 4. This tricky and sneaky. You know that the standard deviation of temperature is 22.23 degrees. What is the standard deviation of daily sales