If you could show the math/work that would be really helpful

Steve and Wes occasionally have a lunch truck park outside a large pool/park complex in the Philadelphia suburbs on weekends. They have found that the number of people at the complex increases as the temperatures increase-and that generally means more people available to purchase from their truck. From their historic data, they have determined the following linear regression equation to forecast the number of people at the complex (y), where x = temperature: y = -385.757 +9.78% Steve and Wes have also determined the following data from their experience at the pool/park complex: They sell to only 15% of the people at the pool/park complex The average sales per person is $8.50. For Completion on Page 4/5: Given this information, Steve and Wes want to forecast expected sales for an upcoming 3-day holiday weekend where the expected temperatures are supposed to be 90, 92 and 93 degrees (each day). Use the information above to forecast sales for each day and answer questions shown. PART 3 - Linear Regression (5 pts) 1. What is the expected # of people for Weekend Day 1 if the forecasted temperature is 90? Show work: Answer (1 pt; Round to 2 decimal points): 2. What is the expected # of people for Weekend Day 2 if the forecasted temperature is 92? Show work: Answer (1 pt; Round to 2 decimal points): 3. What is the expected # of people for Weekend Day 3 if the forecasted temperature is 93? Show work: Answer (1 pt; Round to 2 decimal points): 4. Wes and Steve have determined that the correlation coefficient for Answer (be brief; less than 10 words) (1 pt): expected temperature and people at the complex is +.9564. What does this number tell you about the relationship of these variables? Answer (1 pt): 5. Steve and Wes are thinking of NOT running their food truck over the weekend so that their staff can take off and enjoy the holiday. They will take off only if they forecast less than $3,500 in total sales (across all 3 days). What will they decide? Show work: Total Expected Sales: $ Answer: WORK TAKE OFF