Devin is investigating the relationship between the temperature in degrees Fahrenheit and the number of gallons of lemonade sold at a lemonade stand on each day during a particular week. Her data are shown in the table. Degrees Fahrenheit vs. Gallons of Lemonade Sold Degrees Fahrenheit, x Gallons of lemonade sold, y 69 4 73 6 78 8 86 2 93 13 90 12 87 10 Using a regression calculator, what is a good line of best fit for the data? A calculator screen. The data is in a 2-column table with 7 rows. Column 1 is labeled x with entries 69, 73, 78, 86, 93, 90, 87. Column 2 is labeled y with entries 4, 6, 8, 2, 13, 12, 10. The linear regression equation is y almost-equals 0.292 x + negative 16.135; r almost-equals 0.644. A calculator screen. The data is in a 2-column table with 7 rows. Column 1 is labeled x with entries 69, 73, 78, 93, 90, 87. Column 2 is labeled y with entries 4, 6, 8, 13, 12, 10. The linear regression equation is y almost-equals 0.355 x + negative 20.145; r almost-equals 0.992. A good line of best fit is y almost-equals 0.29 x minus 16.14. because this is what the regression calculator returns if all the data are entered. A good line of best fit is y almost-equals 0.29 x minus 16.14. because this is what the regression calculator returns if all the data except the point (86, 2) are entered. A good line of best fit is y almost-equals 0.36 x minus 20.15 because this is what the regression calculator returns if all the data are entered. A good line of best fit is y almost-equals 0.36 x minus 20.15 because this is what the regression calculator returns if all the data except the point (86, 2) are entered.