1. The table shows data collected on the relationship between the average daily temperature and coffee sales (in hundreds of dollars) at a coffee shop. The line of best fit for the data is j? =_ 0.68:: + 85.1 Assume the line of best fit is significant and there is a strong linear relationship between the variables. ___ \" 1-\" According to the line of best fit, what would be the predicted number of coffee sales [in hundreds of dollars} for an average daily temperature of 32 degrees? Round your answer to two decimal places, as needed. 2. The table shows data collected on the relationship between the average age of a person {in years} and coffee sales (in hundreds of dollars) at a coffee shop. The line of best t for the data is 53 = 0.28x + 69.9 Assume the line of best fit is significant and there is a strong linear relationship between the variables. Age (Years Coffee Sales (in hundreds of dollars) '_ According to the line of best fit, the predicted number of coffee sales (in hundreds of dollars) for an person whose age is 45 degrees is 57.30. is it reasonable to use this line of best t to make the above prediction? Select the correct answer below: C The estimate, a predicted amount of 57.30 sales (in hundreds of dollars}, is both reliable and reasonable. 5'} The estimate, a predicted amount of 57.30 sales (in hundreds of dollars}, is both unreliable and unreasonable. i .' The estimate, a predicted amount of 57.30 sales {in hundreds of dollars}, is reliable but unreasonable. H The estimate, a predicted amount of 57.30 sales (in hundreds of dollars}, is unreliable but reasonable. 3. Educators were interested in verifying that a student's actual grade level [)0 correlated with grade level score on a reading test {y}. The data in the table are from students in their sample. Find the linear regression line for the following values. Round your answer to two decimal places, as needed